Poor Visual Quality Research Articles

Reverse Geometry Hybrid Contact Lens Fitting in a Case of Donor-Host Misalignment after Keratoplasty

ABSTRACT Purpose To report the successful outcome obtained after fitting a new hybrid contact lens in a cornea with an area of donor-host misalignment and significant levels of irregular astigmatism after penetrating keratoplasty (PKP). Materials and methods A 41-year-old female with bilateral asymmetric keratoconus underwent PKP in her left eye due to the advanced status of the disease. One year after surgery, the patient referred a poor visual acuity and quality in this eye. The fitting of different types of rigid gas permeable contact lenses was performed, but with an unsuccessful outcome due to contact lens stability problems and uncomfortable wear. Scheimpflug imaging evaluation revealed that a donor-host misalignment was present at the nasal area. Contact lens fitting with a reverse geometry hybrid contact lens (Clearkone, SynergEyes Carlsbad) was then fitted. Visual, refractive, and ocular aberrometric outcomes were evaluated during a 1-year period after the fitting. Results Uncorrected distance visual acuity improved from a prefitting value of 20/200 to a best corrected postfitting value of 20/20. Prefitting manifest refraction was +5.00 sphere and .5.50 cylinder at 75°, with a corrected distance visual acuity of 20/30. Higher order root mean square (RMS) for a 5 mm pupil changed from a prefitting value of 6.83 μm to a postfitting value of 1.57 μm (5 mm pupil). The contact lens wearing was referred as comfortable, with no anterior segment alterations. Conclusion The SynergEyes Clearkone contact lens seems to be another potentially useful option for the visual rehabilitation after PKP, especially in cases of donor-host misalignment. How to cite this article Pérez-Cambrodí RJ, Ruiz-Fortes P, Llorens DPP. Reverse Geometry Hybrid Contact Lens Fitting in a Case of Donor-Host Misalignment after Keratoplasty. Int J Kerat Ect Cor Dis 2013;2(2):69-72.

Effective Image Compression Techniques using Pre-filtering of Daubechies Transform

Image compression has become an active area of research in the field of Image processing particularly in the applications of medical and space sciences. Due to its importance, several image compression techniques were developed in the literature. But, majority of the conventional image compression approach available in the literature have poor visual quality and low PSNR value. In recent years, wavelet transform is observed to be very efficient in improving the performance of the image compression techniques. The main advantages of wavelet based methods lie in their energy compaction property and multi-resolution decomposition capability. The existing Haar transform based image compression approach has very low computational complexity but its compression performance is not significant. Improved SPIHT algorithm is used in this approach for the effective image compression of the image. This paper introduces a novel image compression approach using effective Daubechies Wavelet transform. For best performance in image compression, pre-filtering of wavelets transform is performed that combine a number of desirable properties, such as orthogonality and symmetry. The experimental results reveal that PSNR value and the visual quality of the proposed Improved SPIHT are very significant.

Reversible secret image sharing with steganography and dynamic embedding

ABSTRACTMany traditional steganography methods do not disperse and hide secret data smoothly over all the capacity of cover images. Rather, they severely modify part of the cover image(s) to embed secret data, which results in stego images that have poor visual quality. In addition, there are still some secret image‐sharing approaches that cannot reveal the secret image losslessly without pixel expansion or extra storage or restore distortion‐free cover image(s) if they use steganography. In this paper, a novel scheme, which is based on Shamir's (t, n)‐threshold scheme (1979) and Galois Field GF(28) and uses dynamic embedding and least significant bit construction, is proposed to solve the issues mentioned above. Our experimental results showed that the dynamic embedding performance in our scheme was satisfactory and that both the secret image and the cover image can be restored losslessly without pixel expansion or extra storage. Copyright © 2012 John Wiley & Sons, Ltd.

Objective improvement of the visual quality of ion microscope images

The need to operate with low ion beam fluences implies the images obtained using ion microscope (IM) are often grainy and have poor visual quality compared to what can be obtained using e.g. confocal microscopy. This results from the Poissonian distribution of counts in pixels. Here we report work on some different approaches for objectively improving the visual quality of IM images. In this work we present (i) dramatic improvement in the visual image quality of off-axis and direct-scanning transmission ion microscopy (STIM) images by suppression of zero-pixels; (ii) denoising of PIXE images using wavelet filtering and (iii) use of the feature preserving characteristics of wavelet filtering for co-localisation of weak trace elements.

Abstract 2477: Moving Toward 100% Stroke Patient Education Compliance

Background: Evidence has shown that if patients are provided with basic stroke education (i.e. stroke risk factors, warning signs, emergency actions, follow-up considerations, general medication information), they have improved self-care. Provision of stroke education is a performance measure for Joint Commission Certified-Primary Stroke Centers (JC-PSC). In our 2 hospital system, variation in provision of education, effectiveness of materials provided, and documentation of teaching was found. Purpose: The purpose of this initiative was to identify barriers to providing optimal stroke education and implement strategies for improvement. Method: Current educational delivery methods/materials were clarified with input from multi-disciplinary team members and past/current patients and families. Compliance with provision of this patient education measure was tracked. Barriers to optimal compliance and educational delivery identified included inconsistent patient education provision and documentation methods, handouts of poor visual quality that weren’t helpful for people with visual problems, varying content for discharge instructions, and lack of real time assessment of measure compliance. Improvement strategies implemented included stroke program CNS or RN seeing all known stroke/TIA inpatients, creation of a spiral bound stroke educational booklet and an audio CD version, development of a stroke education teaching screen in the electronic health record, and revision of an individualizable Stoke/TIA Patient Discharge Instruction template that included required content. Results: Strategies for improvement took time and involved significant staff education; however improvement in stroke education measure compliance was noted at both of our hospitals during the first year. In the second year of this initiative, continued efforts resulted in 100% compliance with the measure for most months. Conclusions: Having the stroke program CNS or RN see the stroke/TIA inpatients improved not only consistency of care delivery but also afforded the opportunity to do ongoing education for staff. Creation of consistent educational materials that could meet individual patient/family needs along with creation of user-friendly documentation methods increased our ability to successfully meet the needs of our patients and show we had excellent stroke education delivery outcomes.

A High-Capacity Lossless Data Hiding Scheme for Binary Images

Many previous binary image lossless data hiding schemes often cause serious perceptible distortion and have poor visual quality of stego-images. To obtain better invisibility and higher hiding capacity, a novel reversible data hiding scheme for binary images is proposed by combining pattern substitution and human visual perception. Firstly, an improved binary image boundary detection method is presented by avoiding successive boundary pixel flipping. Secondly, secret messages are embedded into binary image boundaries by employing interlaced block partition. Finally, to achieve lossless recovery of original binary image, the side-information is lossless compressed by using the Golomb Code and the occurrence frequency of each pattern. Extensive experiments show that the proposed scheme is effective, and obtain at least 3.6 dB higher PSNR values of stego-image and 92.5% higher embedding capacity compared with Ho et al’s method.

Progressive Visual Cryptography With Unexpanded Shares

The basic ( <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">k</i> , <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i> )-threshold visual cryptography (VC) scheme is to share a secret image with <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i> participants. The secret image can be recovered while stacking <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">k</i> or more shares obtained; but we will get nothing if there are less than <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">k</i> pieces of shares being overlapped. On the contrary, progressive VC can be utilized to recover the secret image gradually by superimposing more and more shares. If we only have a few pieces of shares, we could get an outline of the secret image; by increasing the number of the shares being stacked, the details of the hidden information can be revealed progressively. Previous research, such as Jin in 2005, and Fang and Lin in 2006, were all based upon pixel-expansion, which not only causes the waste of storage space and transmission time but also gets a poor visual quality on the stacked image. Furthermore, Fang and Lin's research had a severe security problem that will disclose the secret information on each share. In this letter, we proposed a brand new sharing scheme of progressive VC to produce pixel-unexpanded shares. In our research, the possibility for either black or white pixels of the secret image to appear as black pixels on the shares is the same, which approximates to 1/ <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i> . Therefore, no one can obtain any hidden information from a single share, hence ensures the security. When superimposing <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">k</i> (sheets of share), the possibility for the white pixels being stacked into black pixels remains 1/ <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i> , while the possibility rises to <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">k</i> / <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i> for the black pixels, which sharpens the contrast of the stacked image and the hidden information, therefore, become more and more obvious. After superimposing all of the shares, the contrast rises to ( <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i> -1)/ <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i> which is apparently better than the traditional ways that can only obtain 50% of contrast, consequently, a clearer recovered image can be achieved.

Robust lossless data hiding using clustering and statistical quantity histogram

Lossless data hiding methods usually fail to recover the hidden messages completely when the watermarked images are attacked. Therefore, the robust lossless data hiding (RLDH), or the robust reversible watermarking technique, is urgently needed to effectively improve the recovery performance. To date a couple of methods have been developed; however, they have such drawbacks as poor visual quality and low capacity. To solve this problem, we develop a novel statistical quantity histogram shifting and clustering-based RLDH method or SQH-SC for short. The benefits of SQH-SC in comparison with existing typical methods include: (1) strong robustness against lossy compression and random noise due to the usage of k-means clustering; (2) good imperceptibility and reasonable performance tradeoff due to the consideration of the just noticeable distortion of images; (3) high capacity due to the flexible adjustment of the threshold; and (4) wide adaptability and good stability to different kinds of images. Extensive experimental studies based on natural images, medical images, and synthetic aperture radar (SAR) images demonstrate the effectiveness of the proposed SQH-SC.

Visual enhancement of underwater images using Empirical Mode Decomposition

Most underwater vehicles are nowadays equipped with vision sensors. However, it is very likely that underwater images captured using optic cameras have poor visual quality due to lighting conditions in real-life applications. In such cases it is useful to apply image enhancement methods to increase visual quality of the images as well as enhance interpretability and visibility. In this paper, an Empirical Mode Decomposition (EMD) based underwater image enhancement algorithm is presented for this purpose. In the proposed approach, initially each spectral component of an underwater image is decomposed into Intrinsic Mode Functions (IMFs) using EMD. Then the enhanced image is constructed by combining the IMFs of spectral channels with different weights in order to obtain an enhanced image with increased visual quality. The weight estimation process is carried out automatically using a genetic algorithm that computes the weights of IMFs so as to optimize the sum of the entropy and average gradient of the reconstructed image. It is shown that the proposed approach provides superior results compared to conventional methods such as contrast stretching and histogram equalizing.

Edge Adaptive Image Steganography Based on LSB Matching Revisited

The least-significant-bit (LSB)-based approach is a popular type of steganographic algorithms in the spatial domain. However, we find that in most existing approaches, the choice of embedding positions within a cover image mainly depends on a pseudorandom number generator without considering the relationship between the image content itself and the size of the secret message. Thus the smooth/flat regions in the cover images will inevitably be contaminated after data hiding even at a low embedding rate, and this will lead to poor visual quality and low security based on our analysis and extensive experiments, especially for those images with many smooth regions. In this paper, we expand the LSB matching revisited image steganography and propose an edge adaptive scheme which can select the embedding regions according to the size of secret message and the difference between two consecutive pixels in the cover image. For lower embedding rates, only sharper edge regions are used while keeping the other smoother regions as they are. When the embedding rate increases, more edge regions can be released adaptively for data hiding by adjusting just a few parameters. The experimental results evaluated on 6000 natural images with three specific and four universal steganalytic algorithms show that the new scheme can enhance the security significantly compared with typical LSB-based approaches as well as their edge adaptive ones, such as pixel-value-differencing-based approaches, while preserving higher visual quality of stego images at the same time.

Professionals' Perceptions of Electronically Recorded Interviews with Vulnerable Witnesses

This study presents a qualitative evaluation of the Video and Audio Taped Evidence (VATE) process involving vulnerable witnesses, introduced by Victoria Police in 1996. Specifically, this study presents an analysis of individual in-depth interviews with a diverse group of 25 key Victorian stakeholders (police officers, prosecutors, solicitors, defence lawyers, and members of the judiciary). The aim of the interviews was to provide an overview of the stakeholders' perceptions of the VATE system, with particular focus on the usefulness of VATE interviews viewed or used in the stakeholders' practice. The findings revealed unanimous support for electronic recording of witness statements. However, the stakeholders also perceived that the effectiveness of the system was impeded by several factors. These include: (a) frequent absence within the interviews of a coherent account and detail needed to prove the various offences, (b) inability to scrutinise questions asked prior to the VATE interview, (c) lack of feedback regarding how well the VATE system is working, and (d) the recording medium itself which produced statements of poor sound and visual quality. Three broad recommendations arising from the interviews are discussed.

Adaptive wavelet-based deconvolution method for remote sensing imaging

Fourier-based deconvolution (FoD) techniques, such as modulation transfer function compensation, are commonly employed in remote sensing. However, the noise is strongly amplified by FoD and is colored, thus producing poor visual quality. We propose an adaptive wavelet-based deconvolution algorithm for remote sensing called wavelet denoise after Laplacian-regularized deconvolution (WDALRD) to overcome the colored noise and to preserve the textures of the restored image. This algorithm adaptively denoises the FoD result on a wavelet basis. The term "adaptive" means that the wavelet-based denoising procedure requires no parameter to be estimated or empirically set, and thus the inhomogeneous Laplacian prior and the Jeffreys hyperprior are proposed. Maximum a posteriori estimation based on such a prior and hyperprior leads us to an adaptive and efficient nonlinear thresholding estimator, and therefore WDALRD is computationally inexpensive and fast. Experimentally, textures and edges of the restored image are well preserved and sharp, while the homogeneous regions remain noise free, so WDALRD gives satisfactory visual quality.

QUALITY MAINTENANCE OF RIPE PINEAPPLE AS AFFECTED BY APPLICATION OF WAX ASSOCIATED TO 1-METHYLCYCLOPROPENE

The greatest hurdle for the export of locally produced ripe ‘MD-2’ pineapple to overseas markets is the poor visual quality of the fruit, usually affected by shipping time and/or marketing conditions. Quality changes of ripe (shell color with ¾ yellow surface and degree Brix above 14) ‘MD-2’ pineapples have been studied after treatment with 1-MCP applied before and after carnauba based wax. The fruit storage environment and the experimental period studied simulated shipping and marketing conditions considering Ceara State in Northeast Brazil as the production site and the Netherlands in Europe as the market place. Evaluation included fruit visual quality, degree of shell yellowing, mass loss, firmness, flesh translucency and color, content of soluble solids (SS), titratable acidity (TA), pH, SS / AT ratio, contents of vitamin C, total and reducing sugar, carotenoids, and flavonoids. Temperature was the key factor for the maintenance of fruit visual quality. Waxing kept fruit visual quality and delayed shell yellowing, but these effects were not improved by application of 1-MCP, neither before nor after waxing. The addition of 1-MCP to the application of wax increased contents of flavonoids and carotenoids toward the end of the storage time, but did not affect flesh luminosity or color, which remained stable throughout storage. TA was reduced by the application of wax, while SS to TA ratio increased. The decrease in total sugar and vitamin C contents, as well as the increase in reducing sugar and pH, were higher after transfer of fruits from shipping to market conditions than throughout the shipping period. Translucency of the flesh seemed to be increased by application of the treatments, but only near the end of the experiment.

Simulation-based evaluation of OSEM iterative reconstruction methods in dynamic brain PET studies

The reconstruction of dynamic PET data is usually performed using filtered backprojection algorithms (FBP). This method is fast, robust, linear and yields reliable quantitative results. However, the use of FBP for low count data, such as dynamic PET data, generally results in poor visual image quality, exhibiting high noise, disturbing streak artifacts and low contrast. These signal-to-noise ratio and contrast in the reconstructed images may alter the quantification of physiological indexes, such as the regional Binding Potential (BP) obtained from kinetic modeling. Iterative reconstruction methods are often presented as viable alternatives to FBP reconstruction. In this study, we investigated the characteristics of the UW-OSEM and the ANW-OSEM iterative reconstruction methods in the context of ligand–receptor PET studies with low counts. The assessment was conducted using replicates of simulated [ 18F]MPPF acquisitions. The quantitative accuracy obtained with the iterative and analytical methods was compared. The results show that analytical methods are more robust to the low count data than iterative methods, and therefore enable a better estimate of the regional activity values and binding potential. The positivity constraint in MLEM-based algorithms leads to overestimations of the activity in regions with low activity concentration, typically the cerebellum. This overestimation results in significant bias in BP estimates with iterative reconstruction methods. The bias is confirmed from the reconstruction of real PET data.

Assessing the Visual Quality of Rural and Urban-fringed Landscapes surrounding Livestock Farms

This study concentrated on main concerns and preferences relating to the visual quality of rural and urban-fringed landscapes together with livestock farms and their surroundings, and assessed negative or positive effects of existing natural and cultural features on the landscape in visual context. The study area covered seven rural or urban-fringed districts of İzmir province, situated in the western end of Turkey. A panel of 30 viewers was asked to evaluate a total of 116 min of footage. This comprised viewing 58 min of video and a 58 min evaluation of 58 slides of 250 images. The selection represented a myriad of rural and urban-fringed landscapes and livestock farms with their surroundings across the province. The study clearly identified that rural landscapes were relatively rated with higher scores than urban edge landscapes. Natural features provided positive effects on the visual quality of landscapes whereas some cultural features sharply decreased. Rural landscapes in some districts achieved relatively the highest degree of visual quality but farms and their environs remained of poor quality. In contrast, the gap between landscapes and farms in some others which are completely under heavy pressure from densities of settlements, increasing urban and industrial sprawl besides poor visual quality and insufficient construction techniques of farms. However, modern and well-managed farms enhance visual appeal of landscapes as well. As a conclusion, livestock farms usually did not adapt or correspond well visually with landscapes. To compete with this challenge, land should be allocated provisionally for new livestock farms in rural landscapes without charging for environmental problems or visual intrusions, managed visual adjustment between existing farms and their environs, and surfaced detrimental effects of natural and cultural landscape features explicitly.

Drought responses of six ornamental herbaceous perennials

Abstract Although low water use landscaping is becoming common in arid regions, little is known about drought tolerance and drought responses of many ornamental plants, especially herbaceous perennials. Drought responses were assessed for six herbaceous ornamental landscape perennials in a 38 l pot-in-pot system in northern Utah over a 2-year period. The first year was an establishment period. During the second year, drought responses were evaluated for established Echinacea purpurea (L.) Moench, Gaillardia aristata Pursh, Lavandula angustifolia P. Mill., Leucanthemum × superbum (J.W. Ingram) Berg. ex Kent, ‘Alaska’, Penstemon barbatus Roth var. praecox nanus rondo , and Penstemon × mexicali Mitch. ‘Red Rocks’. Plants were irrigated at frequencies of 1 (control), 2, or 4 weeks between June and September, simulating well-watered conditions, moderate drought, or severe drought. Osmotic potential ( Ψ s ), gas exchange, visual quality, leaf area, and dry weight were assessed. In a confined root zone, P. barbatus showed the greatest tolerance to all levels of drought, avoiding desiccation by increasing root:shoot ratio and decreasing stomatal conductance as water became limiting. L. angustifolia and P . × mexicali showed tolerance to moderate drought conditions, but died after exposure to the first episode of severe drought. Neither G. aristata nor L. superbum were able to regulate shoot water loss effectively. Instead, both species displayed drought avoidance mechanisms, dying back when water was limiting and showing new growth after they were watered. Compared to control plants, G. aristata shoot dry weight was reduced by 50% and 84%, and L. superbum shoot dry weight was reduced by 47% and 99% for the 2- and 4-week irrigation intervals, respectively. Root dry weights were affected similarly for both species. E. purpurea exhibited poor visual quality at all irrigation intervals, in particular wilting severely in both drought treatments, but regaining turgor when watered again. P. barbatus is recommended for ornamental landscapes that receive little or no supplemental irrigation, while E. purpurea is not recommended for low water landscapes because of low visual quality under even mild drought.

A Marketing Feasibility Study of Incorporating Worm Castings into a Substrate Mix for Home Gardening

Ferry-Morse Seed Company is trying to market worm castings to their customers. Murray State University was asked to compare different percentages of worm castings for use with both bedding plants/vegetables and houseplants. Recommended application rates for worm castings was not to exceed 30%. Two plants were chosen to represent the plant categories deemed important to the consumer: tomato (Lycopersicon esculentum `Rutgers') and spider plant (Chlorophytum comosum). Treatment percentages for worm castings were 0% for a control and 10%, 20%, and 30% were incorporated into a soilless media substrate. Treatment 1 consisted of worm castings/soilless media alone and Treatment 2 consisted of worm castings/soilless media with the addition of Peters Professional All-Purpose 20–20–20 fertilizer at 100 ppm nitrogen. Tomatoes were grown from seed and the spider plant propagules were harvested from greenhouse stock plants and sized into small, medium, and large depending on weight. Tomatoes were harvested at 6 weeks and spider plants at 10 weeks. All tomatoes in Treatment 1 had poor visual consumer quality. Visual quality for Treatment 2 tomatoes was best in 20% and 30%. No significant differences were found in Treatment 1 regarding shoot and root weights. Treatment 2 showed significant differences in dry and fresh weight between the control and 20% and 30%. There were visual quality differences with spider plants in Treatment 2 and also significant differences in shoot and root weights between control and all percentages of worm castings in Treatment 2. Based on plant performances, a recommendation to Ferry-Morse Seed Company was to market worm castings in conjunction with a regular fertilizer schedule for maximum plant quality.

Selection of a surface coating and optimisation of its concentration for use on ‘Hass’ avocado (Persea americana Mill.) fruit

Effects of surface coatings on gas exchange characteristics of ‘Hass’ avocados (Persea americana Mill.) were used to select a suitable coating and to optimise its concentration for use on avocado fruit at 20°C, 60% relative humidity. Of six different surface coatings used, “Avocado wax” provided the greatest level of benefit (reduction in mass loss and enhanced sheen) for a given level of risk (modification of internal oxygen and carbon dioxide partial pressures). At the other extreme, 2% carboxymethylcellulose provided no benefit but substantially increased risk of fermentation. “Apple clear” treated fruit had lowest rates of mass loss, but had poor visual quality. Of the Avocado wax concentrations assessed, 11% was the optimum. Concentrations greater than this provided marginal further gains in the reduction of mass loss, but imposed unacceptable levels of risk of anaerobiosis in the fruit. A packhouse trial confirmed this concentration as optimum, but achieved somewhat lower levels of benefit.

Visual Quality Controls in Highway Design

If he is to locate and design highways of good visual quality, the highway designer needs: (1) A sound philosophy of design; (2) principles of visual quality; (3) tools and techniques to visually test the design prior to construction; and (4) a suitable design process which allows him to fully exploit items 1 through 3. A brief consideration of each of the preceding elements is presented. Included in the paper are: rules of alignment coordination; illustrations of highway designs showing good and poor visual quality; examples of computer-drawn perspectives of highways and suggested scales for physical models which are used as aids in visualizing the design in its early stages; and a suggested design process. Language: en

Biologische Untersuchungen über Schutzstoffe

The least-significant-bit (LSB) technique is one of the commonly used steganographic algorithms in the spatial domain. In most existing schemes, they didn’t carefully analyze the relationship between the image content itself. Hence, the smooth areas in the cover image will inevitably be contaminated after hiding even at a low embedding rate, thereby leading to poor visual quality and low security. In recent years, diverse steganography methods using edge detection have been proposed. However, their schemes employ certain pixels in the cover image for the sake of storing edge information, resulting in significant embedding distortion and low payload. In this study, a novel steganography approach based on the combination of LSB substitution mechanism and edge detection is proposed. To avoid the excavation of human visual system (HVS) when more secret bits are embedded into pixels, we classify the cover pixels into edge areas and non-edge areas. Then, pixels that belong to the edge area are used to carry more secret bits. In addition, to further increase the payload as well as preserve good image quality, we adopt a skillful way that the edge information is determined by most significant bits (MSBs) of the cover image so that it does not need to be stored. In the extraction phase, the same edge information is obtained. Therefore, the secret data can be correctly extracted without confusion. The experimental results demonstrate that our scheme achieves a much higher payload and better visual quality than those of state-of-the-art schemes.