In this paper, we develop an image compression algorithm based on an information-theoretic analysis of transform coding in the end-to-end imaging process. Our analysis accounts for the radiance-field statistics, the image-gathering system design, and transform coding and compression in determining ...
In image compression, transform coding (especially at low rates) is frequently preferred over DPCM because it does not propagate transmission errors beyond MxM subblocks. Transmission errors in DPCM coded images usually affect large portions of the im age. Transform coding also allows for non-...
Compared to monoscopic image compression, stereo image compression has received much less attention. A variety of algorithms have appeared in the literature that make use of the cross-view redundancy in the stereo pair. Many of these use the framework of disparity-compensated residual coding, but ...
In this paper, we present a DCT/DST based transform scheme that applies either the conventional DCT or type-7 DST for all the video-coding intra-prediction modes: vertical, horizontal, and oblique. Our approach is applicable to any block-based intra prediction scheme in a codec that employs ...
Thetheoremisprovedusingtransformcodingschemeinthat all thecodesareoperative intransformdomain. 本定理之证明主要是采用转换编码的方法。在此方法中,每一个码都是在转换域中架构。 www.ceps.com.tw 7. ATransformCodingCompressionofHyperspectralImagewith its Edge Features Retained ...
In this paper, we propose a codec for the compression of neural networks which is based on transform coding for convolutional and dense layers and on clustering for biases and normalizations. By using this codec, we achieve average compression factors between 7.9-9.3 while the accuracy of the ...
Chapter 7 Transform Coding R. L. de Queiroz and K. R. Rao Electrical Engineering Department University of Texas at Arlington Arlington, Texas This chapter presents the role of discrete transforms, especially discrete cosine transform (DCT) and lapped orthogonal transform (LOT), in image coding. ...
In this paper, we propose a new graph-based compression scheme for image coding. Our approach relies on the careful design of a graph that optimizes the overall rate-distortion performance. In particular, we model the pixels as nodes of a graph and we treat the pixel intensities as a signa...
Transform based image compression has difficulty with image regions containing edges. Edge compensated transform coding (ECTC) addresses this problem by preprocessing to remove edges. This preprocessing is adapted to transform coding. The edge information is sent in a side channel and the edges are re...
in such a way so that the diagnostics capabilities are not compromised or no medical information is lost.This paper proposes a hybrid technique for lossless medical image compression that combines integer wavelet transforms and predictive coding to enhance the performance of lossless compression. Here...