It is clear that the compression of Meteosat radiometric data is not a classical problem. A rst challenge consists in image coding with the intention to preserve the quality of measurements. This is quite diierent from image coding with the intention to preserve the visual quality. The latter problem is extensively addressed in the literature. The way in which the problem of the errors is addre...

This paper presents a new image representation method based on a Matching Pursuit expansion over a dictionary built on anisotropically refined atoms. New breakthroughs in image coding certainly rely on truly multidimensional signal decompositions, and the coder proposed in this paper provides an adaptive way of representing images as a sum of two-dimensional features. It is shown to provide ver...

In this paper shape adaptive all phase biorthogonal transform (SA-APBT) for coding arbitrarily shaped image segments is proposed. The proposed transform can be used in region-based image compression instead of the shape adaptive discrete cosine transform (SA-DCT). Region-based image coding method is made up of three procedures: image segmentation, contour coding and texture coding. An image is ...

The Bag-of-visual-words (BOVW) model discards image spatial information, and the computing cost is expensive on spatial pyramid matching(SPM) model. Due to sparse coding approach exhibit super performance in information retrieval, hence, we propose a new sparse coding image retrieval algorithm. Using 2 l norm replace 0 l norm in SPM vector quantization. The local information was incorporated in...

Edge detection plays an important role in many applications, such as industrial inspection, pattern recognition, scene analysis, image coding, etc. Since human visual perception is sensitive to edges and contours, we can simplify shape analysis and perform more accurate object recognition if the boundary of an object can be extracted successfully. In addition, image data compression is crucial ...

Time varying image analysis s Motion detection s Motion estimation s Egomotion and structure from motion Time-varying image analysis-2 Larry Davis The problems s Visual surveillance – stationary camera watches a workspace-find moving objects and alert an operator – moving camera navigates a workspace-find moving objects and alert an operator s Image coding – use image motion to perform more eff...

An adaptive wavelet transform algorithm for scal-able image coding is proposed in this paper. A quadtree segmentation scheme based on an entropy criterion is proposed to segment the image into several regions to allow for adaptive ltering using diierent types of prototype wavelet lters. A joint bit allocation and coding method is presented to eeciently code the segmented image in an embedding f...

A pre/post-filtering framework for DCT image coding has been proposed recently. Together with Wiener filtering technique, the new framework has been investigated for error resilient image coding. In this paper, after a review of existing methods, we analyze the limitation associated with one of the current design criteria, the reconstruction gain, and propose an alternative that offers better c...