An HVS-based location-sensitive definition of mutual information between two images

Haijun Zhu; Huayi Wu

doi:10.1117/12.713427

28 October 2006 An HVS-based location-sensitive definition of mutual information between two images

Haijun Zhu, Huayi Wu

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.

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Haijun Zhu and 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); https://doi.org/10.1117/12.713427

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KEYWORDS

Image compression

Information visualization

Image registration

Visualization

JPEG2000

Visual system

Bandpass filters

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