Ultra High Definition Research Articles

Threshold for defining PSMA-positivity prior to 177Lu-PSMA therapy: a comparison of [68Ga]Ga-PSMA-11 and [18F]F-DCFPyL in metastatic prostate cancer

BackgroundIn 2022, the American Food and Drug Administration and the European Medicines Agency approved [177Lu]Lu-PSMA-617 (PLUVICTO™, Novartis AG, Basel, Switzerland) for radionuclide therapy with prostate-specific membrane antigen (PSMA) ligands in metastatic prostate cancer. Theranostics require appropriate patients to be identified by positron emission tomography (PET) prior to radionuclide therapy, usually employing [68Ga]Ga-PSMA-11. Alternatively, several 18F-labelled PSMA-PET tracers are available and may increasingly replace 68Ga-labelled compounds, with respect to their image quality, availability and other practical advantages. However, alternative tracers may differ in uptake behaviour, and their comparability with regard to patient selection for [177Lu]Lu-PSMA therapy has not yet been established. Here, we analysed whether tumour-to-background ratios determined by PET using the 18F-labelled PSMA-specific radiopharmaceutical [18F]F-DCFPyL were comparable to those determined by PET using [68Ga]Ga-PSMA-11.ResultsNo differences could be observed between [68Ga]Ga-PSMA-11-PET and [18F]F-DCFPyL-PET regarding tumour-to-liver ratios or tumour-to-mediastinum ratios (e. g. tumour-to-liver ratios using maximum SUV of the tumour lesion for ultra-high definition reconstructed PET images with a median of 2.5 (0.6–9.0) on [68Ga]Ga-PSMA-11-PET vs. 2,0 (0.6–11.4) on [18F]F-DCFPyL-PET). However, significant differences were observed in terms of contrast-to-noise ratios, thereby demonstrating the better image quality obtained with [18F]F-DCFPyL-PET.ConclusionsOur data showed that [18F]F-DCFPyl-PET and [68Ga]Ga-PSMA-11-PET provide comparable tumour-to-liver and tumour-to-mediastinum ratios. Therefore, a tumour uptake of [18F]F-DCFPyL above the liver background, like using [68Ga]Ga-PSMA-11, can be considered as equally suitable for defining PSMA-positivity by a semiquantitative assessment based on the liver background, e. g. prior to radioligand therapy with 177Lu-labelled PSMA ligands. In addition, our data suggest a tending advantage of [18F]F-DCFPyL in terms of lesion detectability.

Role of ultra-high definition endoscopy (endomicroscopy and endocytoscopy) and real-time histologic examination in inflammatory bowel disease: Scoping review.

Confocal laser endomicroscopy (CLE) and endocytoscopy (EC) are ultra-high definition (HD) imaging modalities that enable real-time histological assessment. Although existent for nearly two decades, their role in current clinical decision making in inflammatory bowel disease management is not well defined. We searched PubMed using keywords ("confocal" OR "CLE" OR "endocytoscopy") AND ("IBD" OR "inflammatory bowel" OR "Crohn*" OR "Crohn's" OR "colitis ulcerosa" OR "ulcerative colitis") between 2005 and March 2023. We identified 52 studies for detailed review. Confocal laser endomicroscopy was useful in real-time assessment of histologic inflammation and dysplasia characterization in both ulcerative colitis (UC) and Crohn's disease. Although CLE was associated with higher per-biopsy yield for UC-associated neoplasia (UCAN), the benefit was offset by higher procedure time, frequent equipment failure, and conflicting results on incremental yield over chromoendoscopy. Assessment of barrier dysfunction by CLE did not correlate with disease/endoscopic activity but could predict major adverse outcomes. The implications of residual CLE abnormalities in endoscopic remission remain uncertain. Ex vivo binding of labeled biologics can help in predicting biologic response in UC.EC can discriminate mucosal inflammatory cells by morphology and allows assessment of histologic activity. EC combined with pit pattern was better than pit pattern alone for UCAN. Artificial intelligence-assisted EC in UCAN needs further study. Ultra-HD imaging in inflammatory bowel disease can be useful in assessment of UCAN, barrier dysfunction, predicting histologic remission, and biologic response. Future controlled studies are warranted to define the role of these novel technologies in clinical decision making.

Evaluation of the Field-Test Results of Advanced ISDB-T System With Low-Rate LDPC Codes

This article analyses low-density parity-check (LDPC) codes for forward error correction (FEC) in the next generation of digital terrestrial broadcasting systems for transmitting high-volume content services, such as ultra high definition television (UHDTV). We assess the performance of the LDPC codes used by the Advanced ISDB-T system with 2x2 MIMO transmission using experimental data obtained in field measurements in Brazil. Channel power, carrier-to-noise threshold, and receiving threshold were measured for four different low-rates LDPC codes, two modulation types, and three receiving antenna heights at outdoor sites in urban areas. The coverage analysis shows that the channel power presents a similar distribution for horizontal and vertical polarized signals. C/N threshold analysis shows that in sites with high vehicular traffic, the C/N threshold and reception threshold values were much higher than in other sites with less heavy vehicular traffic. Among the five coding-modulation combinations used in the field tests, the transmission configuration with LDPC code rate 2/16 and QPSK modulation was the one that presented the best results partially meeting the requirement of C/N <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\leq $</tex-math> </inline-formula> 0dB. The transmission configuration with LDPC code rate 3/16 and QPSK modulation showed C/N results just above 0dB, but offering 50% higher data transmission rate.

Recent Activities of the Ultra HD Forum

Recent Activities of the Ultra HD Forum

DTV Essential Hidden Area Decoder for DTV Broadcasting

Terrestrial, satellite, and internet High Definition (HD) and Ultra High Definition (UHD) broadcasting have experienced notable advancements in recent years, yet the potential within the DTV Essential Hidden Area (DEHA) in each frame remains largely untapped. This study focuses on exploring and harnessing the capabilities of the DEHA via the introduction of a DEHA decoder. Through experimental analysis, the proposed decoder effectively reveals previously unnoticed DEHA in diverse HDTV broadcasting systems. By incorporating overlaid three-digit values, DEHA text, a 16 × 15 checked board pattern, and a QR code, the decoder enables the easy identification and extraction of the embedded DEHA service. Furthermore, the research investigates the potential of utilizing the embedded DEHA for transmitting program-related metadata, encompassing technical information, specific camera details, and post-production technologies. Leveraging a checked pattern block image, a seamless and efficient transfer mechanism within the embedded DEHA is established. The utilization of the embedded DEHA holds promising opportunities for enhancing DTV service, leveraging its inherent synchronization advantages within video content. Moreover, compliance with established broadcasting standards, such as ATSC, ISDB, and DVB, ensures compatibility and interoperability. This study emphasizes the significance of the DEHA in terrestrial, satellite, and internet broadcasting, unveiling new possibilities for innovation and improvement in the industry.

Reconfigurable low-density decoder for multi-level wireless local area networks

Formulation of the problem. With the rapid development of multimedia equipment and the development of technology, ultra-high-quality equipment with a resolution of 3840 ×2160 (4K2K) pixels, such as ultra-high definition television projectors (UHDTV), has been developed. Most devices use high-definition multimedia interface (HDMI) lines as transmission media, which are expensive and have length limitations; therefore, wireless transmission is an ideal solution. Devices for augmented reality (AR) or virtual reality (VR), mirroring mobile device screens, etc. also, as a rule, wireless transmission is used. Thus, wireless data transmission with a frequency of 60 GHz plays an important role in the era of the fifth generation (5G), where special attention is paid to high transmission speed, large data volume and low latency. Purpose. Development of a reconfigurable low-density parity decoder architecture with suitable hardware for IEEE 802.15.3c, 802.11g and 802.11ay standards. Practical significance. The reconfigurable Low-Density Parity Decoder (LDPC) is designed with suitable hardware for use in three 60 GHz wireless transmission standards: IEEE 802.15.3c, 802.11g and 802.11ay. This architecture flexibly supports 12 types of parity check matrices. The switching network uses an architecture that allows universal switching between different inputs and provides low hardware complexity. The control node block uses a switchable reconfigurable 8/16/32 structure to match different string weights at different encoding rates and uses a minimum sum algorithm to simplify the procedure for finding the minimum value.

Compact modeling of metal–oxide TFTs based on the Bayesian search-based artificial neural network and genetic algorithm

Thin-film transistors play an important role in ultra-high definition displays. The conventional physical model requires a significant amount of time and resources, while its generalizability is limited. This paper introduces a method for quickly incorporating the characteristics of emerging devices into circuit simulations using an artificial neural network (ANN) model. The multi-layer perceptron (MLP) model, with a simple structure and high modeling efficiency, is employed as a typical ANN model. The pivotal step in using the MLP model is to determine its topology. This hyperparameter problem can be easily solved using Bayesian search. To improve the accuracy of the model, a genetic algorithm is proposed to optimize the initial values of the weights and biases. Furthermore, by introducing the first derivative in the loss function, small signal parameters can be taken into consideration. This modeling approach significantly reduces the time required for compact device modeling. Our experimental results exhibit a strong correlation between the model’s output and the corresponding experimental data, thereby providing comprehensive validation for the effectiveness of our proposed model. Once the trained model parameters were extracted, we implemented the hybrid ANN model using Verilog-A. This circuit-level experiment demonstrates that this hybrid ANN model can accurately estimate various physical devices and circuits.

PP8K: A New Dataset for 8K UHD Video Compression and Processing

In the new era of Ultra High Definition (UHD) videos, 8K is becoming more popular in diversified applications to boost the human visual experience and the performances of related vision tasks. However, researchers still suffer from the lack of 8K video sources to develop better processing algorithms for the compression, saliency detection, quality assessment, and vision analysis tasks. To ameliorate this situation, we construct a new comprehensive 8K UHD video dataset (PP8K), which has two sub-datasets, i.e., the Common Raw Format Videos (CRFV) dataset and the Video Salient Object Detection (VSOD) dataset. To fully validate the diversity and practicality, the spatial and temporal information characteristics of CRFV dataset are evaluated by the widely used metrics and the video encoder. Moreover, the VSOD dataset is the first proposed dataset for UHD saliency detection, and can provide diverse high-resolution annotations for 6,538 frames with comprehensive features and statistical analyses. Through the extensive experiments and comparative analyses with the other counterpart datasets, the proposed 8K dataset shows apparent advantages in diversity and practicality, which can benefit its applications for the developments of UHD video technologies. This dataset will be released online: <ext-link ext-link-type="uri" xlink:href="https://git.openi.org.cn/OpenDatasets/PP8K" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://git.openi.org.cn/OpenDatasets/PP8K</ext-link> . Demos can be accessed already.

Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method

As the quality of optical sensors improves, there is a need for processing large-scale images. In particular, the ability of devices to capture ultra-high definition (UHD) images and video places new demands on the image processing pipeline. In this paper, we consider the task of low-light image enhancement (LLIE) and introduce a large-scale database consisting of images at 4K and 8K resolution. We conduct systematic benchmarking studies and provide a comparison of current LLIE algorithms. As a second contribution, we introduce LLFormer, a transformer-based low-light enhancement method. The core components of LLFormer are the axis-based multi-head self-attention and cross-layer attention fusion block, which significantly reduces the linear complexity. Extensive experiments on the new dataset and existing public datasets show that LLFormer outperforms state-of-the-art methods. We also show that employing existing LLIE methods trained on our benchmark as a pre-processing step significantly improves the performance of downstream tasks, e.g., face detection in low-light conditions. The source code and pre-trained models are available at https://github.com/TaoWangzj/LLFormer.

8K Ultra HD TV broadcast system: challenge, architecture and implementation

The size of the audio and video (AV) content of the 8K program is four times larger than that of 4K content, providing viewers with a more ideal audiovisual experience while placing higher demands on the capability and efficiency of document preparation and processing, signal transmission, and scheduling. However, it is difficult to meet the high robustness requirements of 8K broadcast services because the existing broadcast system architecture is limited by efficiency, cost, and other factors. In this study, an 8K Ultra-High-Definition (UHD) TV program broadcast scheme was designed. The verification results show that the scheme is high quality, highly efficient, and robust. In particular, in the research, the file format normalizing module was first placed in the broadcast area instead of the file preparation area, and the low-compression transmission scheme of the all-IP signal JPEG XS was designed in the signal transmission area for improving the efficiency of the scheme. Next, to reduce the impact on the robustness of broadcast services, the broadcast control logic of the broadcast core components is optimized. Finally, a series of 8K TV program broadcasting systems have been implemented and their performance has been verified. The results show that the system meets the efficiency and robustness requirements of a high-quality 8K AV broadcast system, and thus has a high degree of practicability.

High-Throughput Hardware Design for the AV1 Decoder Switchable Loop Restoration Filters

This paper presents a high-throughput hardware design for the Switchable Loop Restoration Filter (SLRF) of the AOM Video 1 (AV1) video format. This hardware includes the two filters defined at the AV1 SLRF: the Separable Symmetric Normalized Wiener Filter (SSNWF) and the Dual Self- Guided Filter (DSGF). The SLRF is the last step in the AV1 loop restoration filters, and it is used to attenuate blurring artifacts, improving the subjective video quality and the coding efficiency. The designed hardware targeted the AV1 decoderand is able to process up to 4K Ultra-High Definition (4K UHD) videos (with 3840x2160 pixels) at 60 frames per second (fps) in real-time. In order to cover different scenarios, two other target throughputs were also evaluated: 4K UHD at 30fps and Full HD (FHD) (with 1920x1080 pixels) at 30fps. The architectures were synthesized for standard cells using the 40 nm TSMC library. The SSNWF and DSGF architectures used 37.38 Kgates and 177.58 kgates in all evaluated scenarios. Depending on the evaluated scenario, the SSNWF power dissipation varied from 8.25mWto 26.95mWand the DSGF power varied from 57.19 mW to 115.02 mW. This is the first paper in the literature presenting a hardware design for the AV1 SLRF with its two filters.

Efficient Dedicated Hardware Design System for the VVC Low-Frequency Non-Separable Transform

This paper proposes a dedicated hardware architecture for the Low-Frequency Non-Separable Transform (LFNST) of the Versatile Video Coding (H.266/VVC) standard. The VVC defines two stages of transformation, where the first stage uses traditional transform types (e.g. DCT-II, DCT-VII and DST-VII), while the secondary transform stage applies the LFNST. The LFNST is used to transform the coefficients that were transformed by the DCT-II in the primary transform, but only those from the residues that came from the intra prediction. The developed LFNST system design exploits the Clock Crossing Domain technique to extract the best relation between performance and area/power. Consequently, the design operates with two clock domains, where the core operates at a four times higher frequency than the primary transform. The ASIC synthesis results for a TSMC 40nm standard-cells library indicate that our design can process UHD 4K videos at 120 frames per second while using an area of 69.68 Kgates, and with a power dissipation of 40.46 mW. When compared with related works, our design presented the lowest power dissipation and energy consumption per sample.

On Combining Wavefront and Tile Parallelism with a Novel GPU-Friendly Fast Search

As the necessity of supporting ever-increasing demands in video resolution leads to new video coding standards, the challenge of harnessing their computational overhead becomes important. Such overhead stems not only from the increased image data due to higher resolutions but also from the coding techniques per se that are introduced by each standard to improve compression. All modern standards in the field of video coding offer high compression efficiency, but this is achieved by increasing the computational complexity of the encoding part. Ultra-High-Definition (UHD) videos, bring new encoding implementation schemes that are being recommended for CPU and GPU parallelization. Therefore, several works are published to achieve better performance and reduce encoding complexity. Following this idea, we proposed and evaluated a hybrid encoding scheme that utilizes the constant growth of the CPU power with the massive GPU popularity in parallel. Taking advantage of the encoding schemes from the leading video coding standards, such as High-Efficiency Video Coding (HEVC) and Versatile Video Coding (VVC), which support parallel processing thru Wavefront or Tiling, in our work, we combined both of them at the same time as a whole, and in addition, we introduced a GPU-friendly fast search algorithm that is highly parallel and alternative to the default non-parallel TZ-Search. Through an experimental evaluation with common test sequences, the proposed GPU Fast Motion Estimation with our previous Wavefront per Tile Parallelism (WTP) was shown to provide valid trade-off between speedup and video coding efficiency, effectively combining the best of two worlds, i.e., WTP using CPUs and parallel Motion Estimation with GPUs.

Frugal Exoscope: A Minimal Cost Option for Microsurgery and Training Program in Male Infertility

Background: Conventional microscopes and exoscopes currently play pivotal roles in the microsurgery or training for male infertility. However, they are expensive and unaffordable in low-resource settings, which limits training or application of advanced methods. Objectives: To introduce a new, low-cost exoscope system and to determine whether it is an effective frugal innovation. Methods: Using animal models, we evaluated a new frugal exoscope system named DKTA in experimental microsurgery of vas deferens repair. Five experts in male infertility surgery undertook an anonymous survey to elucidate their experience with DKTA system use. Three crucial criteria (i.e., substantial cost reduction, concentration on core functionalities, and optimized performance level) were evaluated to determine whether the DKTA is effective as frugal innovation. The survey used a 5-point Likert scale of responses to eight statements investigating surgical, ergonomic, and educational aspects. Results: The DKTA system, including an optical microscope and ultra-high-definition (UHD) camera (4K), was an exoscope placed between 20 and 40 cm from the surgical field. It was held in position with a camera support arm on casters and connected to a 65-in. smart TV. DKTA system met the three crucial criteria of frugal innovation. Five male infertility microsurgeons reported positive evaluations based on modal scores of the DKTA system when performing experimental vasovasostomy. Conclusions: DKTA system, a frugal innovation, has a valuable contribution to the training program and performance of male infertility microsurgery in low-resource settings.

Latest Advances in Narrow‐Band Phosphors and Their Role in Color Management

Latest Advances in Narrow‐Band Phosphors and Their Role in Color Management

A Highly Pipelined and Highly Parallel VLSI Architecture of CABAC Encoder for UHDTV Applications.

Recently, specifically designed video codecs have been preferred due to the expansion of video data in Internet of Things (IoT) devices. Context Adaptive Binary Arithmetic Coding (CABAC) is the entropy coding module widely used in recent video coding standards such as HEVC/H.265 and VVC/H.266. CABAC is a well known throughput bottleneck due to its strong data dependencies. Because the required context model of the current bin often depends on the results of the previous bin, the context model cannot be prefetched early enough and then results in pipeline stalls. To solve this problem, we propose a prediction-based context model prefetching strategy, effectively eliminating the clock consumption of the contextual model for accessing data in memory. Moreover, we offer multi-result context model update (MCMU) to reduce the critical path delay of context model updates in multi-bin/clock architecture. Furthermore, we apply pre-range update and pre-renormalize techniques to reduce the multiplex BAE's route delay due to the incomplete reliance on the encoding process. Moreover, to further speed up the processing, we propose to process four regular and several bypass bins in parallel with a variable bypass bin incorporation (VBBI) technique. Finally, a quad-loop cache is developed to improve the compatibility of data interactions between the entropy encoder and other video encoder modules. As a result, the pipeline architecture based on the context model prefetching strategy can remove up to 45.66% of the coding time due to stalls of the regular bin, and the parallel architecture can also save 29.25% of the coding time due to model update on average under the condition that the Quantization Parameter (QP) is equal to 22. At the same time, the throughput of our proposed parallel architecture can reach 2191 Mbin/s, which is sufficient to meet the requirements of 8 K Ultra High Definition Television (UHDTV). Additionally, the hardware efficiency (Mbins/s per k gates) of the proposed architecture is higher than that of existing advanced pipeline and parallel architectures.

NutrUgraft - preoperative supplementation in ultra HD liposuction with ultrasound-guided rectus abdominis fat transfer: a prospective longitudinal cohort clinical study

Liposuction triggers an inflammatory response as a result of surgical trauma. Preoperative dietary supplementation has been implemented to enhance recovery. The purpose of this study was to evaluate patients’ perceptions of the use of preoperative dietary supplementation through a questionnaire. We conducted a prospective study of 80 healthy patients, 2 men, and 78 women, with a mean age of 34.8 years. Thirty days before surgery, all patients have prescribed the NutrUgraft protocol: CoQ10 200 mg, Dimpless 40 mg, Biointestil 300 mg, and IBS Care 100 mg. The Impact® dietary supplement was also prescribed, 1 unit daily for 7 days. On postoperative day 30, patients answered 5 objective questions: (1) How do you rate your healing? Good, fair, or poor; (2) Did you feel safer by receiving preoperative supplementation? Yes, no, or indifferent; (3) Postoperatively, your bowel: functioned normally, constipated, or had diarrhea; (4) Postoperatively, did you develop fibrosis? Yes, no, or I don’t know; and (5) If undergoing another surgery in the future, would you like to receive preoperative supplementation again? Yes, no, or indifferent. Of 80 patients evaluated, 80% classified their healing as good, 90% reported feeling safer by receiving preoperative supplementation, 85% reported that their bowel functioned normally postoperatively, 80% reported not developing fibrosis, and 91.25% would like to receive supplementation again if undergoing another surgery. Based on the results, patients had a positive perception of all topics evaluated, thus highlighting the importance of dietary supplementation in the preoperative period of plastic surgery.

Major iatrogenic bile duct injury during elective cholecystectomy: a Czech population register-based study

PurposeBile duct injury (BDI) remains the most serious complication following cholecystectomy. However, the actual incidence of BDI in the Czech Republic remains unknown. Hence, we aimed to identify the incidence of major BDI requiring operative reconstruction after elective cholecystectomy in our region despite the prevailing modern 4 K Ultra HD laparoscopy and Critical View of Safety (CVS) standards implemented in daily surgical practice among the Czech population.MethodsIn the absence of a specific registry for BDI, we analysed data from The Czech National Patient Register of Reimbursed Healthcare Services, where all procedures are mandatorily recorded. We investigated 76,345 patients who were enrolled for at least a year and underwent elective cholecystectomy during the period from 2018–2021. In this cohort, we examined the incidence of major BDI following the reconstruction of the biliary tract and other complications.ResultsA total of 76,345 elective cholecystectomies were performed during the study period, and 186 major BDIs were registered (0.24%). Most elective cholecystectomies were performed laparoscopically (84.7%), with the remaining open (15.3%). The incidence of BDI was higher in the open surgery group (150 BDI/11700 cases/1.28%) than in laparoscopic cholecystectomy (36 BDI/64645 cases/0.06%). Furthermore, the total hospital stays with BDI after reconstruction was 13.6 days. However, the majority of laparoscopic elective cholecystectomies (57,914, 89.6%) were safe and standard procedures with no complications.ConclusionOur study corroborates the findings of previous nationwide studies. Therefore, though laparoscopic cholecystectomy is reliable, the risks of BDI cannot be eliminated.

Deep-Blue Organic Light-Emitting Diodes Employed Traditional Hole Transporting Material as Emitter for 31-Inch 4K Flexible Display

High-efficiency deep-blue organic light-emitting diodes (OLEDs) play a crucial role in realizing ultra-high-definition (UHD) flat-panel displays and reducing power consumption. Generally, most reported OLEDs with a Commission Internationale de L’Eclairage (CIE) y coordinate &lt; 0.06 are achieved by traditional fluorescent deep-blue emitters. However, it is challenging to obtain deep-blue fluorescent OLEDs with a high external quantum efficiency (EQE) (reaching the theoretical limit of 5%). In this work, we have successfully employed a hole-transporting material for an emitter, which can increase the efficiency in deep-blue OLEDs. The device employed with the proposed hole-transporting material exhibits deep-blue emission peaks at 427.0 nm with CIE coordinates of (0.155, 0.051), a turn-on voltage (Von) of 4.5 V, and an EQE of 4.5%. The performance of the OLED can be improved by 5.0% by optimizing the device structure. Finally, the flexible display when using the OLED devices exhibited a high image quality.

Design of a Low-Power Super-Resolution Architecture for Virtual Reality Wearable Devices

Head-mounted displays (HMDs) have made a virtual reality (VR) accessible to a widespread consumer market, introducing a revolution in many applications. Among the limitations of current HMD technology, the need for generating high-resolution images and streaming them at adequate frame rates is one of the most critical. Super-resolution (SR) convolutional neural networks (CNNs) can be exploited to alleviate timing and bandwidth bottlenecks of video streaming by reconstructing high-resolution images locally (i.e., near the display). However, such techniques involve a significant amount of computations that makes their deployment within area-/power-constrained wearable devices often unfeasible. This research work originated from the consideration that the human eye can capture details with high acuity only within a certain region, called the fovea. Therefore, we designed a custom hardware architecture able to reconstruct high-resolution images by treating foveal region (FR) and peripheral region (PR) through accurate and inaccurate operations, respectively. Hardware experiments demonstrate the effectiveness of our proposal: a customized fast SR CNN (FSRCNN) accelerator realized as described here and implemented on a 28-nm process technology is able to process up to 214 ultrahigh definition frames/s, while consuming just 0.51 pJ/pixel without compromising the perceptual visual quality, thus achieving a 55% energy reduction and a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times 14$ </tex-math></inline-formula> times higher throughput rate, with respect to state-of-the-art competitors.