Title :
Denoising JPEG images by re-application of JPEG
Author :
Nosratinia, Aria
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Abstract :
A novel method is proposed for post-processing of JPEG-encoded images, in order to reduce coding artifacts and enhance visual quality. Our method simply re-applies JPEG to the shifted versions of the already-compressed image, and forms an average. This approach, despite its simplicity, offers better performance than other known methods, including those based on nonlinear filtering, POCS, and redundant wavelets
Keywords :
data compression; discrete cosine transforms; image coding; image enhancement; noise; transform coding; JPEG image denoising; JPEG re-application; JPEG-encoded images; POCS; already-compressed image; average; coding artifacts reduction; nonlinear filtering; post-processing; redundant DCT expansion; redundant wavelets; shifted versions; visual quality enhancement; Discrete cosine transforms; Filter bank; Image coding; Information filtering; Information filters; Least squares methods; Noise generators; Noise reduction; Quantization; Transform coding;
Conference_Titel :
Multimedia Signal Processing, 1998 IEEE Second Workshop on
Conference_Location :
Redondo Beach, CA
Print_ISBN :
0-7803-4919-9
DOI :
10.1109/MMSP.1998.739048
