Three-dimensional Color Research Articles

The BiCG Algorithm for Solving the Minimal Frobenius Norm Solution of Generalized Sylvester Tensor Equation over the Quaternions

In this paper, we develop an effective iterative algorithm to solve a generalized Sylvester tensor equation over quaternions which includes several well-studied matrix/tensor equations as special cases. We discuss the convergence of this algorithm within a finite number of iterations, assuming negligible round-off errors for any initial tensor. Moreover, we demonstrate the unique minimal Frobenius norm solution achievable by selecting specific types of initial tensors. Additionally, numerical examples are presented to illustrate the practicality and validity of our proposed algorithm. These examples include demonstrating the algorithm’s effectiveness in addressing three-dimensional microscopic heat transport and color video restoration problems.

High-intensity Focused Ultrasound Ablation Combined with Hysteroscopy for the Treatment of Uterine Arteriovenous Fistula Associated with Retained Products of Conception: A Prospective Cohort Study

To evaluate the efficacy of combining high-intensity focused ultrasound (HIFU) ablation with hysteroscopic removal of retained products of conception in the presence of a uterine arteriovenous fistula (UAVF). Prospective cohort study SETTING: Tertiary hospital. 17 patients with UAVF and retained products of conception. HIFU ablation combined with hysteroscopic removal of retained products of conception RESULTS: All patients presented with irregular vaginal bleeding following pregnancy termination and not responsive to medical treatment. Patients were confirmed to have a UAVF along with concurrent intrauterine residue using three-dimensional color Doppler ultrasonography, uterine angiography, or pelvic-enhanced magnetic resonance imaging; and demonstrated a poor response to medical treatment. Under real-time ultrasound guidance, HIFU was used to ablate the arteriovenous malformation region. Patients underwent hysteroscopic removal of retained products of conception; the removed tissue was subjected to pathological examination. All patients underwent monthly uterine color Doppler ultrasound examinations and menstrual status follow-up within 3 months postoperatively and showed normal menstrual recovery without signs of arteriovenous malformations on ultrasonography. Pathological examination of the tissues removed during hysteroscopic clearance revealed characteristics consistent with pregnancy, with abnormal blood vessels in some tissues. All patients experienced normal menstrual recovery postoperatively, without intrauterine adhesions. Combining HIFU ablation with postoperative hysteroscopic surgery effectively treats pregnancy related UAVF with minimal complications, preserves fertility; it offers an additional treatment option for patients wanting future fertility.

Digital photometric analysis as a non-invasive method to determine gingival phenotype: A comparative study

ObjectiveIdentification of periodontal phenotype is critical in clinical practice. Thick and thin tissues respond differently to inflammation, and trauma. It significantly influences the outcomes of restorative treatment, regenerative therapy, and success of implants and periodontal surgery. Periodontal phenotype can be assessed via invasive or non-invasive methods. This study aimed to establish the reliability of non-invasive methods in determining gingival phenotypes in comparison with validated methods. MethodsThis preapproved cross-sectional observational study was conducted at Batterjee Medical College in Saudi Arabia. The participants were conveniently sampled based on the inclusion criteria. The clinical study utilized Colorvue® biotype probes to evaluate gingival tissue phenotype in the region of interest, intraoral digital scanner (IOS) (iTero® scanner), and digital photography. Densitometric acquisition of photographs and intraoral scans was performed using Adobe Photoshop to quantify three-dimensional color measurements expressed in Delta E values (ΔE). Furthermore, patient-reported experience measures (PREMs) were used to evaluate anxiety and pain perception. Values of p < 0.05 were considered statistically significant. ResultsThe analysis of color difference values (ΔE) revealed significant variations in color perception across methods for the thin, medium and very thick groups, indicating perceptible color differences (p < 0.001). The assessment of anxiety levels indicated a statistically significant decrease in stress levels in favor of the IOS method for the medium phenotype. Furthermore, perceived pain was significantly lower with the IOS method than with the probing method for all phenotypes. ConclusionDensitometric analysis of standardized clinical photographs and intraoral scans of the marginal gingiva offers a promising, non-invasive, less stressful, and virtually non-painful method of periodontal phenotype evaluation with reliable numerical outputs. Furthermore, these data may be used to feed AI systems, where machines can learn to recognize color differences and possibly deduce phenotype assessments.

A high-precision automatic extraction method for shedding diseases of painted cultural relics based on three-dimensional fine color model

In recent years, with the development of 3D digitization of cultural relics, most cultural sites contain a large number of fine 3D data of cultural relics, especially complex geometric objects such as painted cultural relics. At present, how to automatically extract surface damage information from the fine 3D color model of painted cultural relics and avoid the loss of accuracy caused by reducing the dimension using conventional methods is an urgentproblem. In view of the above issues, this paper proposes an automatic and high-precision extraction method for cultural relics surface shedding diseases based on 3D fine data. First, this paper designs a 2D and 3D integrated data conversion model based on OpenSceneGraph, a 3D engine, which performs mutual conversion between 3D color model textures and 2D images. Second, this paper proposes a simple linear iterative clustering segmentation algorithm with an adaptive k value, which solves the problem of setting the superpixel k value and improves the accuracy of image segmentation. Finally, through the 2D and 3D integrated models, the disease is statistically analyzed and labeled on the 3D model. Experiments show that for painted plastic objects with complex surfaces, the disease extraction method based on the 3D fine model proposed in this paper has improved geometric accuracy compared with the current popular orthophoto extraction method, and the disease investigation is more comprehensive. Compared with the current 3D manual extraction method in commercial software, this method greatly improves the efficiency of disease extraction while ensuring extraction accuracy. The research method of this paper activates many existing 3D fine data of cultural protection units and converts conventional 2D data mining and analysis into 3D, which is more in line with the scientific utilization of data in terms of accuracy and efficiency and has certain scientific research value, leading value and practical significance.

Identifying fine-scale archaeological features using KH-9 HEXAGON mapping and panoramic camera images: evidence from Liangzhu Ancient City

ABSTRACT Historical fine-scale information of archaeological landscapes is crucial in archaeological investigations. However, documenting such information using satellite sensor data prior to 2000 remains a daunting challenge. Images from the declassified archives of KH-9 HEXAGON (KH-9) cameras, including the panoramic camera system (PCS) and mapping camera system (MCS), offer fine-scale information about archaeological sites. However, noise, contrast distortion and the availability of only a single panchromatic band can limit their potential, particularly for identifying features in subtropical climates within heterogeneous landscape types. This paper focuses on developing a novel multifaceted analytical framework with two components: image pre-processing and feature identification. The image pre-processing component is divided into two steps. First, a trained stationary wavelet transform (SWT) based on the normalized sill (NS) is developed to not only de-noises the image, but also preserve its original image characteristics. Then, the contrast of the de-noised images is optimized by the multi-resolution Top-hat (MTH) using multi-scale information. In the feature identification component, the MCS image is analysed using spatial colour composite write function memory (SCCWFM) and spatial novelty detection (SND). An ultra-fine spatial three-dimensional colour composite (UFSTCC) image and ultra-fine spatial digital surface model (UFSDSM) are produced to aid interpretation of the KH-9 PCS images. The proposed processing pipelines were tested on KH-9 MCS and PCS images of the World Heritage site at Liangzhu Ancient City (LAC) in China, which is characterized by a subtropical climate and a heterogeneous landscape types. The proposed pre-processing pipeline improved considerably the appearance of these images across the LAC landscape while maintaining the original image information. The developed digital analytical approaches for KH-9 PCS and MCS images facilitated straightforward identification of archaeological features in the LAC. The proposed framework has the potential to increase exploitation of the available KH-9 images in archaeological applications.

Shadow removal method for high-resolution aerial remote sensing images based on region group matching

Shadow removal is a critical step in preprocessing high-resolution aerial remote sensing images. The presence of shadows reduces the information in high-resolution aerial remote sensing images, lowers the image quality, and seriously interferes with the work of feature classification, object detection, and information extraction. Therefore, this paper proposes a high-resolution aerial remote sensing image shadow removal method based on region group matching. The method starts from both spatial information and color information, and is able to take into account the whole and the local, and recover the detailed features of different features inside the shadows. Firstly, this paper proposes an irregular region color transfer method based on three-dimensional color space, which can effectively restore the original color and texture information of the features in the shadow region. Secondly, considering the random and variable direction of feature distribution in remote sensing images, the direction of texture feature extraction cannot be set in advance. Therefore, in this paper, the texture details of the features are extracted based on the rotationally invariant light-independent texture feature extraction method to exclude the abnormal interference. Then, the shadow and light regions of the image are segmented internally and grouped according to the type of features to avoid subsequent matching anomalies due to the small size of the image blocks. Next, construct an average texture feature vector for each group of image blocks for grouping matching. The matched light groups are then used to guide the shadow groups for local feature information enhancement, which ensures that on top of the overall shadow removal, the detail recovery of different local features is enhanced. Finally, for the boundary effect after shadow removal, a boundary optimization method with dynamically assigned weights is proposed, which can ensure the natural coherence of the resultant image in the boundary part. The experimental results show that the proposed method balances both overall and local shadow removal effects and can effectively achieve high-resolution aerial remote sensing image shadow removal. Compared with existing methods, the proposed method achieves the best quality of shadow removal results and restores more realistic ground features in shadow region.

Non-invasive spectroscopic analyses of M. E. Chevreul’s colour plates: shedding new light on 19th century colour theory representation

During the early 19th century, colour’s theories flourished. In this context, Michel-Eugène Chevreul (1786–1889) developed a three-dimensional hemispherical colour space, reproduced and used for several decades by manufacturers, scientists, artists, architects, gardeners and designers, among others, to easily identify and classify colours. Despite the major influence and variety of chromatic spaces created by M. E. Chevreul, they have been the subject of a few scientific studies until now. This study will provide new information on the evolution of the printing technique, the materiality and the visual appearance of six different colour circles printed in 1847, 1855, 1861 and 1864. A dedicated analytical methodology was implemented combining visible and near-infrared reflectance imaging, X-ray fluorescence, Raman, short-wave infrared fibre optic reflectance and mid-infrared Fourier transform spectroscopies. This material identification revealed the coexistence of newly synthetized inorganic pigments, such as lead chromate, Prussian blue or Emerald/Scheele green, with established organic and inorganic pigments, such as cochineal lake, vermilion or minium. This study revealed a temporal evolution of the printing technique that leads to an improved colour representation.

Minimally Invasive Costal Cartilage Harvesting Incision for Chest Deformity in Microtia Reconstruction.

Chest deformity is a potential complication associated with auricular reconstruction using autologous costal cartilage. The impact of the incision size employed for costal cartilage harvesting on chest deformities remains unclear. This study aimed to investigate the correlation between the incision size used for harvesting costal cartilage and the occurrence of chest deformities. We retrospectively analyzed patients who underwent ear reconstruction using autologous costal cartilage between June 2021 and September 2022. The patients were categorized into two groups based on the size of the costal cartilage incision: large and small. Chest computed tomography (CT) was performed 18-24 months postoperatively, followed by three-dimensional color map quantification to assess the degree of asymmetry of the chest surface. Subsequently, quantitative data analysis was performed to compare the extent of chest asymmetry between the large- and small-incision groups. The Visual Analog Scale (VAS) was used to assess patient satisfaction with chest morphology. This study included 62 patients, with an equal distribution of 31 in each group. The mean asymmetry value of the small and large incision groups was -3.15 ± 1.88 and -5.27 ± 3.63, respectively. Moreover, the mean VAS score for the small and large incision groups was 7.48 ± 0.72 and 5.09 ± 0.94, respectively. Statistically significant differences were observed between the two groups. Small incision costal cartilage harvesting can effectively alleviate the severity of chest deformities and significantly enhance patient satisfaction. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Fault-Tolerant Code-Switching Protocols for Near-Term Quantum Processors

Topological color codes are widely acknowledged as promising candidates for fault-tolerant quantum computing. Neither a two-dimensional nor a three-dimensional topology, however, can provide a universal gate set {, , }, with the gate missing in the two-dimensional and the gate in the three-dimensional case. These complementary shortcomings of the isolated topologies may be overcome in a combined approach, by switching between a two- and a three-dimensional code while maintaining the logical state. In this work, we construct resource-optimized deterministic and nondeterministic code-switching protocols for two- and three-dimensional distance-three color codes using fault-tolerant quantum circuits based on flag qubits. Deterministic protocols allow for the fault-tolerant implementation of logical gates on an encoded quantum state, while nondeterministic protocols may be used for the fault-tolerant preparation of magic states. Taking the error rates of state-of-the-art trapped-ion quantum processors as a reference, we find a logical failure probability of 3% for deterministic logical gates, which cannot be realized transversally in the respective code. By replacing the three-dimensional distance-three color code in the protocol for magic state preparation with the morphed code introduced in Vasmer and Kubica [PRX Quantum 3, 030319 (2022)], we reduce the logical failure rates by 2 orders of magnitude, thus rendering it a viable method for magic state preparation on near-term quantum processors. Our results demonstrate that code switching enables the fault-tolerant and deterministic implementation of a universal gate set under realistic conditions, and thereby provide a practical avenue to advance universal, fault-tolerant quantum computing and enable quantum algorithms on first, error-corrected logical qubits. Published by the American Physical Society 2024

Correction of Congenital Syndactyly of the Hand with Minimal Full-Thickness Skin Graft from the Weight-Bearing Midline Plantar Area.

Traditional skin grafts for syndactyly often cause color mismatches and unsightly donor sites, whereas no-skin-graft methods leave noticeable dorsal hand scars. This study presents plantar full-thickness skin graft (FTSG) from the weight-bearing midline area for syndactyly repair, a novel approach not previously reported in the literature. The study included three groups of patients with congenital syndactyly of the hand who underwent primary operations with plantar FTSG (n=70), groin FTSG (n=20), and no-skin-graft techniques (n=22). Postoperative outcomes were evaluated by an assessment panel, and guardians' satisfaction scores were measured. Color similarity between the graft and surrounding skin was assessed using a three-dimensional color space. The plantar FTSG group demonstrated a significantly higher likelihood of receiving an 'excellent' rating compared to the groin FTSG group, with an odds ratio of 6.30 (p<0.001). Color difference analysis showed that plantar FTSG more closely matched surrounding skin color than groin FTSG (6.33 vs. 22.57, p<0.001). Guardians reported greater satisfaction with outcomes on the hand in the plantar FTSG group compared to the groin FTSG and no-skin-graft groups (7.16 vs. 5.05 and 4.36, p<0.001). Satisfaction with donor sites was also significantly higher in the plantar FTSG group than in the groin FTSG group (8.23 vs. 6.30, p<0.001). Correction of congenital hand syndactyly using midline plantar FTSG from the weight-bearing area can reduce scarring on the hand dorsum, ensure superior color similarity with surrounding skin, and offer inconspicuous donor sites compared to no-skin-graft or groin FTSG techniques.

Two-stage image colorization via color codebook

Image colorization has a wide range of applications, but it remains a challenging task due to it is an inherently ill-posed problem with multi-modal uncertainty. The advancement of deep learning techniques has provided extensive avenues for addressing image colorization. However, current works mainly suffer from two problems: inaccurate colorization leading to biased color tones (e.g., cool or warm bias) and undersaturation of images. Existing Transformer-based methods can produce impressive results, but they often come with high training costs and may result in color overflow effects. In this paper, we propose a two-stage image colorization strategy based on a color codebook. Clustering methods in the three-dimensional CIE Lab color space is proposed to integrate brightness information so that the colors in the codebook can be lifelike. In the first stage, we treat the colorization task as a classification problem based on a color codebook, and a high-quality codebook is advantageous for enhancing color classification accuracy. In the second stage, different from the traditional Transformer-based method, a pyramid-type Transformer structure is used to extract rich image features to refine the colors, which can solve potential color bands, color errors and color overflow. In addition, the parameters and FLOPs are significantly smaller than other traditional Transformer-based methods. Extensive experiments demonstrate that our method outperforms state-of-the-art approaches. On the ImageNet validation set, the achieved values are 4.60, 25.23, 0.19, and 39.82 in terms of FID, PSNR, LPIPS, and CF, respectively. On the COCO-Stuff validation set, the achieved values are 5.62, 25.15, 0.19, and 36.25 in terms of FID, PSNR, LPIPS, and CF, respectively. The codes are available at https://github.com/Tanghui2000/Two-stage_Image_Colorization_via_Color_Codebook.

Computer-generated holography with ordinary display.

We propose a method of computer-generated holography (CGH) using incoherent light emitted from a mobile phone screen. In this method, we suppose a cascade of holograms in which the first hologram is a color image displayed on the mobile phone screen. The hologram cascade is synthesized by solving an inverse problem with respect to the propagation of incoherent light. We demonstrate a three-dimensional color image reproduction using a two-layered hologram cascade composed of an iPhone and a spatial light modulator.

Using a Chaotic Digital System to Generate Random Numbers for Secure Communication on 5G Networks

There are several encryption system applications in 5G networks where rapid response is needed, particularly in the military, health sector, traffic, and vehicular movement. This article presents a proposed data security system for 5G networks that fortifies the security of the network through the use of synchronized chaotic systems to produce pseudo-random numbers. The technique by which random numbers are generated during the encryption procedures is closely associated with 5G network security. Many synchronized chaotic systems are used to produce chaotic random models which are used as encryption bases for a wide variety of data. In this study, the encryption was carried out using a variety of data, including two and three-dimensional color images and audio signals of varying lengths, in addition to the use of Fast Fourier Transform (FFT) for encryption of the ingredient energy wave. The results revealed that the algorithm deployed in the process of encryption performed well. Simulations were performed in MATLAB.

Role of Three-Dimensional Multi-Slice Color Flow Doppler in Diagnosis of Morbid Adherent Placenta

Role of Three-Dimensional Multi-Slice Color Flow Doppler in Diagnosis of Morbid Adherent Placenta

Crosstalk-Free Multiplane Full-Color Holography Based on the Space Division Method

This paper has proposed a full-color holography based on the space division method to provide a new solution for three-dimensional color holographic display. The hologram is divided into three different regions for the R, G, and B trichromatic hologram components, which will be designed separately at the corresponding positions. The projection images at different projection depths are preprocessed to meet dimension matching and position matching conditions. Different color images are reconstructed on a single plane and 19 planes in simulations and experiments, respectively, which verify the feasibility of the method. The designed phase-only holograms were fabricated on the silica substrate to obtain the diffraction optical element (DOE). Expect for one DOE, three lasers, and one CCD, no additional optical components are required to prompt a compact and simple experimental setup, which is expected to be used to realize full-color display.

NASAL RECONSTRUCTION AFTER MOHS SURGERY: MANAGEMENT OF DEFECTS ACCCORDING TO ANATOMICAL UNITS AND DIMENSIONS

Objectives: Skin cancer frequently affects the nose, particularly in sun-exposed areas such as the ala, apex, root, and bridge. Even minor nasal lesions can pose aesthetic and psychosocial challenges for patients, necessitating nasal reconstruction tailored to anatomical units and defect size. The primary goal of reconstructive surgery is to restore the original shape, emphasizing three-dimensional space, symmetry, color, and compatibility with surrounding tissue structures. Despite numerous options for post-cancer surgery reconstruction, establishing a gold standard for nasal defect management remains elusive. Materials and Methods: A retrospective study was conducted in 41 patients following Mohs surgery for basal cell carcinoma. Defects are approached based on rhinoplasty principles, considering anatomical units, defect size, and location to select appropriate reconstruction methods. Results: Among the patients, 17 (41.5%) had nasal alar defects, 5 (12.2%) had nasal apex defects, 4 (9.8%) had nasal root defects, 7 (17.1%) had nasal bridge defects, and 9 (22%) had complex defects involving multiple anatomical units. Patients with nasal alar defects &lt;1.5cm underwent reconstruction using the nasolabial flap, while those with larger defects (&gt;1.5cm) underwent forehead flap reconstruction, including auricular cartilage grafts for nasal alar defects. Complex lesions (22%) were reconstructed using a combination of forehead flap and rotation or V-Y flap. Nasal root defects (7.3%) were reconstructed using the glabellar flap. Conclusion: Nasal reconstruction, employing local or regional flaps, consistently yields positive functional and aesthetic outcomes due to the similarity in color and skin flap thickness with adjacent structures. The forehead flap, with its constant blood supply, vitality, and versatile design, is particularly effective for complex nasal lesions. Received 29 June 2023Revised 27 September 2023Accepted 29 November 2023

Color-Based Point Cloud Classification Using a Novel Gaussian Mixed Modeling-Based Approach versus a Deep Neural Network

The classification of point clouds is an important research topic due to the increasing speed, accuracy, and detail of their acquisition. Classification using only color is basically absent in the literature; the few available papers provide only algorithms with limited usefulness (transformation of three-dimensional color information to a one-dimensional one, such as intensity or vegetation indices). Here, we proposed two methods for classifying point clouds in RGB space (without using spatial information) and evaluated the classification success since it allows a computationally undemanding classification potentially applicable to a wide range of scenes. The first is based on Gaussian mixture modeling, modified to exploit specific properties of the RGB space (a finite number of integer combinations, with these combinations repeated in the same class) to automatically determine the number of spatial normal distributions needed to describe a class (mGMM). The other method is based on a deep neural network (DNN), for which different configurations (number of hidden layers and number of neurons in the layers) and different numbers of training subsets were tested. Real measured data from three sites with different numbers of classified classes and different “complexity” of classification in terms of color distinctiveness were used for testing. Classification success rates averaged 99.0% (accuracy) and 96.2% (balanced accuracy) for the mGMM method and averaged 97.3% and 96.7% (balanced accuracy) for the DNN method in terms of the best parameter combinations identified.

An Achaemenid God in Color

A limestone relief fragment with a figure in a winged disk from the fifth-century BCE Hall of 100 Columns at Persepolis in southwestern Iran that entered the Harvard Art Museums’ collections in 1943 preserves significant traces of its original coloration and has played a key role in the rediscovery of polychromy at the Achaemenid Persian capital. After tracing the fragment’s journey to Cambridge, MA, this article presents the results of recent technical studies of its pigment remains, including visible light-induced infrared luminescence (VIL) imaging, X-ray fluorescence (XRF) spectroscopy, and the analysis of micro samples by Raman spectroscopy, Fourier transform infrared (FT-IR) spectroscopy, scanning electron microscopy (SEM), and polarizing light microscopy (PLM). The new scientific data is compared to the findings of ongoing investigations of polychromies at Persepolis and other Achaemenid Persian sites and evaluated for the information it can and cannot provide on the original appearance of the figure in the winged disk, likely the Zoroastrian god Ahuramazda. The article reviews past attempts at reconstructing the relief’s coloration and the assumptions that guided them, recounts the experience of creating a tangible three-dimensional color reconstruction for an exhibition, and concludes with some general thoughts on the valuation of colorfulness.

Prolonged vase life by salicylic acid treatment and prediction of vase life using petal color senescence of cut lisianthus

This study investigated the effects of exogenous salicylic acid (SA) concentrations (0, 0.1, 0.3, or 0.5 mM), treatment timing (vegetative or reproductive period), and cultivation methods (soil or hydroponic cultivation) on the vase life of four lisianthus cultivars after flower cutting. A 0.5 mM concentration of the SA application during the reproductive period resulted in the longest average vase life of 15.3 d for the Blue Picote cultivar after flower cutting. A colorimeter and a chlorophyll meter were used to observe and quantify petal color changes after cutting, and the color changes during the senescence stages are visualized using a three-dimensional color space. The three-dimensional visualization demonstrated the color senescence for each measurement period. Based on these data, we used automated machine learning algorithms to predict the vase longevity, and the predictive model showed a good accuracy. This model is expected to be widely used in the floricultural industry.

ASSESSING AUDIENCE RESPONSE TOWARDS COLORIZATION OF ICONIC BLACK-AND-WHITE BOLLYWOOD FILMS

In cinema, colors have significance on various levels, including the physical, psychological, and aesthetic. But adding color to black-and-white films so that they appear realistic to the majority of human observers was a significant challenge for the film industry in the 1980s, as it was a very difficult and time-consuming process. However, with the advancement of artificial intelligence and technical developments, the process of colorization has improved, which makes it possible to turn black-and-white films into vivid experiences in a matter of hours. Colorization performs by transferring out the luminance or scalar value, stored in each pixel of a B&amp;W image to a three-dimensional color space.The objective of this research is to assess the reception of colorized versions of iconic black-and-white Bollywood films by contemporary audiences, particularly the younger generation. By employing a mixed methods approach that combines both qualitative and quantitative techniques, we explore whether the introduction of color through digital technology and recent artificial intelligence motivates the new generation to engage with these venerable classics.As case studies, five well-known Bollywood movies from various genres—Mughal-e-Azam (1960), Shree 420 (1955), Naya Daur (1957), Kala Pani (1958), and Dil Tera Deewana (1983)—were chosen. Short video montages featuring scenes from both the colorized and original black-and-white versions of these films were presented to undergraduate and postgraduate students at a university. Nonprobability purposive sampling was used to acquire the data, and a mixed-methods strategy was used to analyze it. The results show that colorization has a substantial effect on younger viewers, who have a greater desire to see these movies in color. This study highlights the evolving importance of colorization in preserving classic cinema and reviving its appeal to modern audiences. Although not devoid of controversies, the process of colorization has emerged as a means to bridge the generational gap in the appreciation of cinematic legacy.