11 June 2012 Discrete cosine transform-analysis-based deblocking algorithm for block-transform compressed images
Jin Wang, Jechang Jeong, Gwanggil Jeon
Author Affiliations +
Abstract
We propose a discrete cosine transform (DCT) analysis-based adaptive deblocking algorithm to reduce the block discontinuities. First we analyze the properties of the one-dimensional DCT coefficients. Based on this analysis, we utilize two adjacent vectors to classify the vector-containing block boundary into three models. For each model, we apply different filters according to the local properties. Comprehensive experiments indicate that the proposed method outperforms a large number of deblocking methods in the literature in terms of the evaluation of peak signal-to-noise ratio, perceptual quality, and computational complexity.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Jin Wang, Jechang Jeong, and Gwanggil Jeon "Discrete cosine transform-analysis-based deblocking algorithm for block-transform compressed images," Optical Engineering 51(6), 067011 (11 June 2012). https://doi.org/10.1117/1.OE.51.6.067011
Published: 11 June 2012
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KEYWORDS
Image compression

Optical engineering

Visualization

Image filtering

Image quality

Linear filtering

Signal to noise ratio

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