An efficient image source coding technique gives good compression performance at low computational complexity. This research introduces an efficient coding technique, based on pyramid coding, that involves transforming an image into an equivalent lower entropy form prior to lossless coding. The proposed method is also a multiresolution technique that facilitates progressive image transmission.

Tamás Frajka Kenneth Zeger University of California Department of Electrical and Computer Engineering San Diego, La Jolla, California 92093-0407 E-mail: [email protected] Abstract. One main focus of research in stereo image coding has been disparity estimation, a technique used to reduce the coding rate by taking advantage of the redundancy in a stereo image pair. Significantly less effort h...

It is an attempt to describe briefly the state of art end prospective directions of development of image compression. The paper deals with coding of continuous-tone color still images and video captured from real world. Here, three main aspects are: lossless coding, lossy coding of still images and video coding. Some basic features of newest image compression standards are described and basic r...

DCT-based image/video coding is still popular now. In this paper, a novel embedded image coding scheme based on integer reversible DCT is proposed. It integrates lossy and lossless coding schemes perfectly. The transform is implemented by factoring the float DCT transform matrix into a series of integer reversible transform matrices. We apply the series of matrices to image samples, and encode ...

We propose an embedded hierarchical image coding algorithm of low complexity. It exploits two fundamental characteristics of an image transform — the well defined hierarchical structure, and energy clustering in frequency and in space. The image coding algorithm developed here, apart from being embedded and of low complexity, is very efficient and is comparable to the best known low-complexity ...

In image coding, the choice of a good image coding algorithm is very dependent on the image content. Based on this fact, dynamic coding algorithms have been designed. They try to nd an optimal coding scheme for each image segment. They rely on an exhaustive search of the best coding algorithm. Evaluation of all algorithms is computationally very intensive and strongly limits the number of consi...

Feature coding and pooling as a key component of image retrieval have been widely studied over the past several years. Recently sparse coding with max-pooling is regarded as the state-of-the-art for image classification. However there is no comprehensive study concerning the application of sparse coding for image retrieval. In this paper, we first analyze the effects of different sampling strat...

A novel image coding scheme using wavelet transform is presented. The developed coding scheme prevents undesirable classifications of wavelet coefficients which arise from conventional quadtree based image coding. This is accomplished by pre-processing the wavelet coefficients. This pre-processing is based statistical distributions of the wavelet coefficients in subbands and the human visual sy...

This paper study the application of wavelet transform and fractal theory in image coding. The image coding based on wavelet transform has been studied firstly, Then, the paper make a research of fractal theory counterpart. After that, this paper research the hybrid compression coding based on wavelet transform and fractal theory, also make simulation experiment of three image coding ways mentio...