11 June 2012 Discrete cosine transform-analysis-based deblocking algorithm for block-transform compressed images
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)
Jin Wang, Jin Wang, Jechang Jeong, Jechang Jeong, Gwanggil Jeon, 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 . Submission:
JOURNAL ARTICLE
8 PAGES


SHARE
RELATED CONTENT

Rate allocation as quality index performance test
Proceedings of SPIE (September 07 2010)
Image representation and compression using directionlets
Proceedings of SPIE (September 19 2007)

Back to Top