Title :
An improved progressive lossy-to-lossless coding method for arbitrarily-sampled image data
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC, Canada
Abstract :
A method for the progressive lossy-to-lossless coding of arbitrarily-sampled image data is proposed. Through experimental results, the proposed method is demonstrated to have a rate-distortion performance that is vastly superior to that of the state-of-the-art image-tree (IT) coding scheme. In particular, at intermediate rates (i.e., in progressive decoding scenarios), the proposed method yields image reconstructions with a peak-signal-to-noise ratio that is much higher (sometimes by several dB) than the IT scheme, while simultaneously achieving a slightly lower lossless rate.
Keywords :
image coding; image reconstruction; tree codes; arbitrarily-sampled image data; image reconstructions; peak-signal-to-noise ratio; progressive lossy-to-lossless coding; state-of-the-art image-tree coding; Approximation methods; Decoding; Encoding; Image coding; Image reconstruction; PSNR; Transforms;
Conference_Titel :
Communications, Computers and Signal Processing (PACRIM), 2013 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
DOI :
10.1109/PACRIM.2013.6625453