@article { author = {Hassanpour, Hamid and Asadi, Sekineh}, title = {Deblocking Joint Photographic Experts Group Compressed Images via Self-learning Sparse Representation}, journal = {International Journal of Engineering}, volume = {29}, number = {12}, pages = {1684-1690}, year = {2016}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {JPEG is one of the most widely used image compression method, but it causes annoying blocking artifacts at low bit-rates. Sparse representation is an efficient technique which can solve many inverse problems in image processing applications such as denoising and deblocking. In this paper, a post-processing method is proposed for reducing JPEG blocking effects via sparse representation. In this method, a dictionary is learned via the single input blocky image using K-SVD. There is no need for any prior knowledge about the blocking artifacts. Experimental results on various images demonstrate that the proposed post-processing method can efficiently alleviate the blocking effects at low bit-rates and outperforms the existing methods.}, keywords = {Image Compression,blocking effect,Post,processing,Sparse representation,low bit,rate}, url = {https://www.ije.ir/article_72842.html}, eprint = {https://www.ije.ir/article_72842_e6a90ec437849e8c4d815b7237b200e0.pdf} }