A deblocking algorithm for JPEG compressed images using overcomplete wavelet representations Academic Article

abstract

• This paper introduces a new approach to deblocking of JPEG compressed images using overcomplete wavelet representations. By exploiting cross-scale correlations among wavelet coefficients, edge information in the JPEG compressed images is extracted and protected, while blocky noise in the smooth background regions is smoothed out in the wavelet domain. Compared with the iterative methods reported in the literature, our simple wavelet-based method has much lower computational complexity, yet it is capable of achieving the same peak signal-to-noise ratio (PSNR) improvement as the best iterative method and giving visually very pleasing images as well. 1997 IEEE.

authors

• Xiong, Zixiang

published proceedings

• IEEE Transactions on Circuits and Systems for Video Technology

altmetric score

• 3

author list (cited authors)

• Xiong, Z., Orchard, M. T., & Zhang, Y.

citation count

• 157

complete list of authors

• Xiong, Zixiang||Orchard, MT||Zhang, Ya-Qin

publication date

• April 1997

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE transactions on circuits and systems for video technology (Print)  Journal

Digital Object Identifier (DOI)

• 10.1109/76.564123

start page

• 433

end page

• 437

volume

• 7

issue

• 2

URL

• http://dx.doi.org/10.1109/76.564123