We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Motivated by the setting of reproducing kernel Hilbert space (RKHS) and its extensions considered in machine learning, we propose an RKHS framework for image and video colorizatio...
In this paper we present a novel vision-based system for automatic detection and extraction of complex road networks from various sensor resources such as aerial photographs, sate...
This is the sample implementation of a Markov random field based color image segmentation algorithm described in the following paper:
Zoltan Kato, Ting Chuen Pong, and John Chu...
A fast rate-distortion analytical framework for the PSNR-based optimization of JPEG baseline compression on color images is proposed in this paper. The analysis is conducted in th...