The Essential Guide to Video Processing

Bovik, A.C.

doi:10.1117/1.3362015

Cited by 48 publications

(74 citation statements)

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“…2) The stego-image visual quality: using both the standard peak-signal-to-noise (PSNR) ratio (in dB) [15,Ch. 3] on the basis of the higher the better.…”

Section: Performance Evaluation and Experimental Resultsmentioning

confidence: 99%

Enhancing the Imperceptibility of Image Steganography for Information Hiding

Fouad

2017

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

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Abstract-In this paper, an image steganography approach is presented dividing the cover image into 2×2 non-overlapping pixel blocks. The upper-left pixel of that block embeds a certain number of bits of the secret bit stream. Whereas, the remaining pixels of the same block embed the secret data using a modified version of the pixel-value-differencing (PVD) method that considers embedding secret data into both horizontal and vertical edges; unlike traditional image steganography approaches. The experimental results show that the proposed approach perceptually outperforms competing approaches in terms of the standard PSNR and the complex wavelet SSIM index. In turn, the imperceptibility of the stego-image is improved with a comparable bit-embedding capacity.

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“…2) The stego-image visual quality: using both the standard peak-signal-to-noise (PSNR) ratio (in dB) [15,Ch. 3] on the basis of the higher the better.…”

Section: Performance Evaluation and Experimental Resultsmentioning

confidence: 99%

Enhancing the Imperceptibility of Image Steganography for Information Hiding

Fouad

2017

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

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“…That is, the gray level of each pixel is replaced by the median of the gray levels in the neighborhood of that pixel. This method is particularly effective when the noise pattern consists of strong, spike like components and, the characteristic that is to be preserved is the edge sharpness [14,15].…”

Section: Block Filtering Using Median Filtermentioning

confidence: 99%

“…All the direction, which gray level, varies should have positive coefficients near to its centre and negative coefficients in the periphery of the kernel [14,15]. Figure 5 shows the HighPass filter used in this research.…”

Section: Histogram Equalization and High-pass Filteringmentioning

confidence: 99%

“…Figure 9 shows the Block Directional Image after Block Wise Operation containing false block direction. Median Filter may be used if the objective is to achieve noise reduction with a minimum amount of blurring [14,15,16]. That is, the gray level of each pixel is replaced by the median of the gray levels in the neighborhood of that pixel.…”

Section: Block Filtering Using Median Filtermentioning

confidence: 99%

“…Suppose our image has L different grey levels 0, 1, 2, 3,…, L-1, and that grey level i occurs n i times in the image. Suppose also that the total number of pixels in the image is n .To transform the grey levels to obtain a better contrasted image, we change grey level as shown in equation (1) and this number is rounded to the nearest integer [14,15].…”

Section: Histogram Equalization and High-pass Filteringmentioning

confidence: 99%

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Fingerprint Image Enhancement By Develop Mehtre Technique

Khalefa¹,

Abduljabar²,

Zeki³

et al. 2011

ACIJ

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Real-time 3D video communication in 3D virtual worlds: Technical realization of a new communication concept

Broeck¹,

Lou²,

Broeck³

2011

Bell Labs Tech. J.

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After a failed initial attempt in the 1950s to bring three dimensionality into the entertainment sector, 3D technologies today have reached a point where media production, transportation, as well as consumption are of sufficient speed and quality to finally advance the complete media chain from two dimensional (2D) to three dimensional information. Production is based either on stereo-or multi-scopic video capturing techniques or on synthetic environments that can mimic or adopt real-life behavior. The resulting 3D media can be transported by providers over the existing telecommunication infrastructure to be consumed by users using single-or multi-view 3D devices such as TVs, goggles, or projectors. The Visual Communication Department in Bell Labs' Application Research Domain has taken on the research challenge to replace a user's avatar in a 3D virtual environment with a real time representation of the user derived from his streaming 3D video image. With this, the tedious process of avatar creation becomes obsolete as people are able to gesture naturally and convey facial expressions within these synthetic worlds. This paper highlights the technical challenges around building and implementing an architecture for innovative and immersive communication systems. We also discuss the technical limitations of the current approach, and pinpoint major open issues. © 2011 Alcatel-Lucent.with a mission. Immersive online multi-user social applications such as SimCity* and Second Life* build on this trend by providing people with the opportunity to create and expand a social network in a simulated adaptable environment. Both the standard video communication applications as well as the immersive multi-user social applications have specific advantages and disadvantages [7] that will ultimately lock them into a specific area of use for a specific market segment. IntroductionThanks to applications like Skype*, Yahoo!* and instant messaging (IM), people are becoming used to using webcams for one-to-one video communication with relatives and friends. These video communication applications typically pop up a window in which the local user can see an image captured by the webcam at the remote side while his local webcam will convey his image to the remote user. At the same time, users are also familiar with immersive multiuser games in which they are represented by avatars The research goal of the Bell Labs Visual Communication Department is to develop and implement applications for immersive visual communication between multiple (residential as well as professional) users by prototyping innovative ideas. Within the department's Mixed Reality activity, team members study the use of real-time three-dimensional (3D) video images of users embedded in immersive online multi-user social applications, more specifically virtual environments [16].Ongoing research [6,8] in this area concentrates on improving an avatar's behavior so as to mimic that of the real user as much as possible. The research is conducted using synthetic models that c...

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The Essential Guide to Video Processing

Cited by 48 publications

References 0 publications

Enhancing the Imperceptibility of Image Steganography for Information Hiding

Enhancing the Imperceptibility of Image Steganography for Information Hiding

Fingerprint Image Enhancement By Develop Mehtre Technique

Real-time 3D video communication in 3D virtual worlds: Technical realization of a new communication concept

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