Wavelet transform image coding using human visual system

2002 ◽  
Author(s):  
Imgeun Lee ◽  
Jongsik Kim ◽  
Yougkyu Kim ◽  
Seongman Kim ◽  
Gooman Park ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Visual System ◽  
Image Coding ◽  
Human Visual System

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

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.

A Perceptually Optimized Foveation Wavelet Visible Difference Predictor Quality Metric Based on Psychovisual Properties of the Human Visual System (HVS)

2020 ◽  
pp. 268-281
Author(s):  
Abderrahim Bajit
Keyword(s):  
Visual System ◽  
Video Compression ◽  
Image Coding ◽  
Human Visual System ◽  
Quality Measurement ◽  
Region Of Interest ◽  
Visual Quality ◽  
Perceptual Quality ◽  
Foveated Imaging ◽  
Error Perception

Region of interest (ROI) image and video compression techniques have been widely used in visual communication applications in an effort to deliver good quality images and videos at limited bandwidths. Foveated imaging exploits the fact that the spatial resolution of the human visual system (HVS) is highest around the point of fixation (foveation point) and decreases dramatically with increasing eccentricity. Exploiting this fact, the authors have developed an appropriate metric for the assessment of ROI coded images, adapted to foveation image coding based on psycho-visual quality optimization tools, which objectively enable us to assess the visual quality measurement with respect to the region of interest (ROI) of the human observer. The proposed metric yields a quality factor called foveation probability score (FPS) that correlates well with visual error perception and demonstrating very good perceptual quality evaluation.

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