As a key part of universal source coding, context quantization is very important for improving compression performance. However, in most existing methods, the quantizer is trained...
In Image Compression, the researchers' aim is to reduce the number of bits required to represent an image by removing the spatial and spectral redundancies. Recently discrete...
In order to overcome poor readability of text and recognizability of image features in low resolution thumbnails, a novel image representation of compound document images - a Smar...
Kathrin Berkner, Edward L. Schwartz, Christophe Ma...
A new architecture for region of interest (ROI) image coding is proposed. ROIs are defined as image regions containing objects of interest, and an efficient algorithm proposed for...
Abstract. Classification of hyperspectral images is paramount to an increasing number of user applications. With the advent of more powerful technology, sensed images demand for la...