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Improvement of Objective Image Quality Evaluation Applying Colour Differences in the CIELAB Colour Space
Lisandro Lovisolo, Renata Caminha Coelho de Souza
Pages - 236 - 244     |    Revised - 01-07-2011     |    Published - 05-08-2011
Volume - 5   Issue - 3    |    Publication Date - July / August 2011  Table of Contents
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KEYWORDS
Image Quality, Color Perception, Objective Metrics
ABSTRACT
In this work perceived colour distance is employed in a simple and functional way in order to improve full-reference image quality assessment. The difference between colours in the CIELAB colour space is employed as perceived colour distance. This quantity is used to process images that are to be feed to full-reference image quality algorithms. This image processing stage consists of identifying the image regions or pixels that are expected to be perceived identically by a human observer in both the reference image and the image having its quality evaluated. In order to verify the validity of the proposal, objective scores are compared with subjective ones for public available image databases. Despite being a very simple strategy, the proposed approach was effective to improve the agreement between subjective and the SSIM (Structural Similarity Index Metric) objective score.
CITED BY (4)  
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2 El-Rifai, I., Mahgoub, H., Magdy, M. A., Toque, J. A., & Ide-Ektessabi, A. (2013). Enhanced Spectral Reflectance Reconstruction Using Pseudo-Inverse Estimation Method. International Journal of Image Processing (IJIP), 7(3), 278.
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Dr. Lisandro Lovisolo
UERJ - Brazil
lisandro@uerj.br
Miss Renata Caminha Coelho de Souza
UERJ - Brazil