Evaluation of the image quality based on random measurements

Authors:
Dong-O Kim;Rae-Hong Park
Affiliations:
Department of Electronic Engineering, Sogang University, Seoul, Korea;Department of Electronic Engineering, Sogang University, Seoul, Korea
Venue:
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Year:
2009

Citing 2
Cited 0

Image quality assessment: from error visibility to structural similarity

IEEE Transactions on Image Processing
An SVD-based grayscale image quality measure for local and global assessment

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, instead of using an arbitrary image feature representing the structure of an image, random measurements are used for evaluating the image quality. Inner products between random bases (consisting of random values) and an image are called random measurements, which impose the information of the image and also change if the image is distorted. Random measurements of the reference and distorted images are compared to evaluate the image quality. Experimental results with the laboratory in image and video engineering image database show the effectiveness of the proposed quality metric using random measurements.