Human Visual System and Wavelet Transform Based Disparity Estimation

2011 ◽  
Author(s):  
Sanoj Kumar ◽  
N. Sukavanam ◽  
Balasubramanian Raman ◽  
Sanjeev Kumar
Keyword(s):  
Wavelet Transform ◽  
Visual System ◽  
Human Visual System ◽  
Disparity Estimation

A Digital Watermarking Algorithm Based on Wavelet Transform

2014 ◽  
Vol 687-691 ◽  
pp. 3992-3995
Author(s):  
Xiao Qiang Yang
Keyword(s):  
Wavelet Transform ◽  
Visual System ◽  
Digital Watermarking ◽  
Human Visual System ◽  
Multimedia Data ◽  
Model Matching ◽  
Security Technology ◽  
New Information ◽  
Effective Use ◽  
Embed Watermark

Digital watermarking is a new information security technology, and it uses the information to protect the security of multimedia data hiding technique. Digital watermarking in wavelet domain can make effective use of the human visual system characteristics, and can be compatible with the international compression standard, and the embedding watermark signal energy can be distributed to all of the pixel space. Based on the characteristic of multi-resolution wavelet decomposition and human visual system model matching, digital watermarking algorithm based on wavelet transform is proposed in this paper. The algorithm for tamper proof is designed by quantifying the significant wavelet coefficients to embed watermark sequence. Preprocessing and quantifying the image of this algorithm are studied, which resolves the rounding error and overflow problem brought by the watermarked image pixel values of wavelet transform. Through various attack test and analysis, the experimentation shows that it has strong robustness, can resist many common image attacks, and has strong practicability.

Perceived Image Gamut Based on Human Visual System and Wavelet Transform

2010 ◽  
Vol 174 ◽  
pp. 16-19 ◽  
Author(s):  
Mao Hai Lin ◽  
Yun Hui Luo ◽  
Shi Sheng Zhou
Keyword(s):  
Wavelet Transform ◽  
Visual System ◽  
Human Visual System ◽  
Color Image ◽  
Color Information ◽  
Transform Method ◽  
Mapping Algorithm ◽  
Gamut Mapping ◽  
General Convex ◽  
Convex Hull Algorithm

As some images perhaps contain pixels whose individual colors will not be perceived if they are below the spatial threshold of human visual system (HVS), the paper presents a wavelet transform method for color image considering HVS characteristics to reduce the redundant color information and then construct perceived gamut of image (PGI), which will be used for effective image-dependent gamut mapping. Taking into account the Contrast Sensitivity Function (CFS) of HVS model, the color information reduction is implemented in some subbands of the wavelet transform domain. Then the image gamut was visualized using the general convex hull algorithm and the constructed PGI will only indicate the perceived part of color image. We preliminarily establish a method for reliably determining PGI, which is help to developing robust and psycho-visually justified image gamut mapping algorithm in the future.

Research and Progress of Image Compression Coding Based on Wavelet

2011 ◽  
Vol 403-408 ◽  
pp. 1352-1355
Author(s):  
Yue Li Cui ◽  
Zhi Gang Chen ◽  
Ai Hua Chen
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Visual System ◽  
Frequency Domain ◽  
Image Coding ◽  
Human Visual System ◽  
Original Image ◽  
Local Characteristics ◽  
Compression Coding ◽  
Research Hotspots

Image compression is a technology using as little as possible bits to represent the original image. As wavelet transform has local characteristics on the time and frequency domain, it makes up the deficiency of DCT. Moreover, its multi-resolution characteristics can easily associate with the human visual system (HVS). Besides, wavelet-based image compression is prone to combine with new image coding methods. It has become the research hotspots at present. This paper introduces wavelets theory and discusses the research status and progress of wavelet-based image compression then points out the main problems. Finally, the prospect in the future was presented.

Image coding using wavelet transform and human visual system

1995 ◽  
Author(s):  
Ilkyu Eom ◽  
Hyung S. Kim ◽  
Kyung S. Son ◽  
Yoon-Soo Kim ◽  
Jae H. Kim
Keyword(s):  
Wavelet Transform ◽  
Visual System ◽  
Image Coding ◽  
Human Visual System
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