28 October 2006 An HVS-based location-sensitive definition of mutual information between two images
Author Affiliations +
Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 64192C (2006) https://doi.org/10.1117/12.713427
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China
Abstract
Quantitative measure of image information amount is of great importance in many image processing applications, e.g. image compression and image registration. Many commonly used metrics are defined mathematically. However, the ultimate consumers of images are human observers in most situations, thus such measures without consideration of internal mechanism of human visual system (HVS) may not be appropriate. This paper proposes an improved definition of mutual information between two images based on the visual information which is actually perceived by human beings in different subbands of image. This definition is both sensitive to the pixels' spatial location and correlates well with human perceptual feeling than mutual information purely calculated by pixels' grayscale value. Experimental results on images with different noises and JPEG&JPEG2000 compressed images are also given.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haijun Zhu, Huayi Wu, "An HVS-based location-sensitive definition of mutual information between two images", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64192C (28 October 2006); doi: 10.1117/12.713427; https://doi.org/10.1117/12.713427
PROCEEDINGS
6 PAGES


SHARE
Back to Top