11 June 2012 Discrete cosine transform-analysis-based deblocking algorithm for block-transform compressed images
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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, Jechang Jeong, 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:
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