Title :
Restoration of lossy compressed noisy images
Author :
Al-Shaykh, Osama K. ; Mersereau, Russell M.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
A restoration algorithm for estimating lossy compressed images that are corrupted by data-dependent Poisson noise is presented. The algorithm is based on modeling the image as a Markov random field (MRF) that penalizes the blocking artifact. The effectiveness of the proposed algorithm is illustrated using synthetic and real images
Keywords :
Markov processes; Poisson distribution; data compression; image coding; image restoration; noise; Markov random field; blocking artifact; data-dependent Poisson noise; lossy compressed noisy images; restoration algorithm; Bit rate; Data engineering; Gaussian noise; Image coding; Image restoration; Markov random fields; Noise figure; Noise measurement; Quantization; Tomography;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.541819
