Title :
Recasting of the image deblocking problem into the domain of image denoising
Author :
Graves, Corey A.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina A&T State Univ., Greensboro, NC, USA
Abstract :
Summary form only given. A new approach is proposed to solve the blocking artifact problem that results from block transform-based image compression at very low-bit rates. The recasting of the blocking artifact problem into the domain of AWGN reduction allows any algorithm that has been developed for image denoising to now be a candidate solution for the blocky image problem. Furthermore, experimental results that are based on a wavelet-based image denoising technique are reported.
Keywords :
AWGN; data compression; image coding; image denoising; transform coding; wavelet transforms; AWGN; HMT; adaptive white Gaussian noise; block transform-based image compression; blocking artifact recasting; blocky image problem; hidden Markov trees; image deblocking problem; image denoising; wavelet-based denoising algorithm; Discrete cosine transforms; Hidden Markov models; Image coding; Image denoising; Image restoration; Noise level; Noise reduction; PSNR; Quantization; Transform coding;
Conference_Titel :
Data Compression Conference, 2003. Proceedings. DCC 2003
Print_ISBN :
0-7695-1896-6
DOI :
10.1109/DCC.2003.1194050
