Holography has the potential to be the ultimate 3D experience. Since holography has a very high data amount compared with 2D image, a method for efficiently compressing it is needed. In this paper, we introduce a zero...
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ISBN:
(纸本)9781728132716
Holography has the potential to be the ultimate 3D experience. Since holography has a very high data amount compared with 2D image, a method for efficiently compressing it is needed. In this paper, we introduce a zero-tree based compression technique for compressing hologram data. First, we introduce the random phase hologram standard data set provided by JPEG Pleno. By applying wavelet transform to hologram, we analyze various energy distribution which depends on wavelet filter. Apply EZW in wavelet domain and analyze compression efficiency according to energy distribution
This paper proposes a block-edge-based Single-Pass Perceptual Embedded zero-tree coding (SPPEZC) method. SPPEZC combines two novel compression concepts, called Block-Edge Detection (BED) and the Low-Complexity and Low...
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This paper proposes a block-edge-based Single-Pass Perceptual Embedded zero-tree coding (SPPEZC) method. SPPEZC combines two novel compression concepts, called Block-Edge Detection (BED) and the Low-Complexity and Low-Memory Entropy Coder (LLEC), for coding efficiency and quality. Because the edge information can provide beneficial cues for preserving the perceptual quality of compressed images, this paper presents an effective combinative coding scheme, called Single-Pass Perceptual Embedded zero-tree coding (SPPEZC), which integrates the improved LLEC and the block-edge information. This approach provides improved perceptual quality in compressed images. Based on the block-edge information, this paper proposes an adaptive architecture for adjusting the quantization table and subsequently coding the quantized coefficients with the LLEC. The proposed SPPEZC approach was implemented and evaluated on both PC-based and DSP-based embedded platforms. Experimental results and comparisons demonstrate that the proposed SPPEZC technique provides computational efficiency as well as satisfactory perceptual quality in compressed images. (C) 2012 Elsevier Ltd. All rights reserved.
We propose anew simple image coder based on Discrete Wavelet Transform (DWT). The DWT coefficients are coded in bitplanes. We use a variable order Markovian model to code the DWT coefficient bitplanes. Recently, we ha...
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ISBN:
(纸本)0819424331
We propose anew simple image coder based on Discrete Wavelet Transform (DWT). The DWT coefficients are coded in bitplanes. We use a variable order Markovian model to code the DWT coefficient bitplanes. Recently, we have developed this method that used 65 contexts(7). In this paper, the number of contexts is reduced to 34. We show the experimental results, both in terms of distortion measurement and visual comparison, and compare them to well-known methods.
Foveated imaging exploits the fact that the spatial resolution of the human visual system decreases dramatically away from the point of gaze. Because of this fact, large bandwidth savings are obtained by matching the ...
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ISBN:
(纸本)081942739X
Foveated imaging exploits the fact that the spatial resolution of the human visual system decreases dramatically away from the point of gaze. Because of this fact, large bandwidth savings are obtained by matching the resolution of the transmitted image to the fall-off in resolution of the human visual system. We have developed a foveated multiresolution pyramid (FMP) video coder/decoder which runs in real-time on a general purpose computer (i.e., a Pentium with the Windows 95/NT OS). The current system uses a foveated multiresolution pyramid to code each image into 5 or 6 regions of varying resolution. The user-controlled foveation point is obtained from a pointing device (e.g., a mouse or an eyetracker). Spatial edge artifacts between the regions created by the foveation are eliminated by raised-cosine blending across levels of the pyramid, and by "foveation point interpolation" within levels of the pyramid. Each level of the pyramid is then motion compensated, multiresolution pyramid coded, and thresholded/quantized based upon human contrast sensitivity as a function of spatial frequency and retinal eccentricity. The final lossless coding includes zero-tree coding. Optimal use of foveated imaging requires eye tracking;however, there are many useful applications which do not require eye tracking.
According to the high and low frequency distribution characteristics of wavelet coefficients that were given by Wavelet transform decomposition of images, in this paper, a improved algorithm was proposed for the disad...
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According to the high and low frequency distribution characteristics of wavelet coefficients that were given by Wavelet transform decomposition of images, in this paper, a improved algorithm was proposed for the disadvantage of the classic EZW. The improved algorithm included four steps to improve the coding efficiency of EZW: to predict low-frequency sub-band coding and code after move the forecasted errors by arithmetic coding;set a new threshold value for high-frequency sub-band to improve the quality of quantify;according to the characteristics of the human eye, improve the Diagonal direction threshold to increase the number of zero-tree;according to the table characteristics of the main scan, compressed image by improved huffman coding. Experiments show an improved effectiveness of the algorithm.
It shows that prior information on the location where quantized value of large coefficients is comparative to that of coefficients is available in coding when natural images are decomposed on wavelet bases. The high e...
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It shows that prior information on the location where quantized value of large coefficients is comparative to that of coefficients is available in coding when natural images are decomposed on wavelet bases. The high efficiency of embedded coding is implemented. Wavelet embedded coding and implementation of zero-tree coding are also considered. The significant map of embedded wavelet coding is stored in zero-tree. A quad-tree is used to denote and significant map in wavelet zero-tree coding. Experiments and analysis show that images with high quality are obtained in the case of only 0.25bit/pixel. The computed and estimated peak to peak SNR cures are dovetailed excellently in wavelet embedded coding.
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