Inspired by recent theoretical advances in compressive sensing (CS), we propose a new framework that combines the classical local discrete cosine transform used in image compressi...
Jiangtao Wen, Zhuoyuan Chen, Yuxing Han, John D. V...
A number of image set compression algorithms have been proposed in the literature. A key component of these algorithms is a numeric measure used to quantify how similar two images ...
Image feature selection (FS) is an important task which can affect the performance of image classification and recognition. In this paper, we present a feature selection algorithm ...
—A new method for fractal image compression is proposed using genetic algorithm (GA) with elitist model. The self transformability property of images is assumed and exploited in ...
The automatic compression strategy proposed by Gergel et al. is a near-optimal lossy compression scheme for a given collection of images whose interimage relationships are unknown...
Barry Gergel, Anthony Schmieder, Xiaobo Li, Howard...