Postprocessing for very low bit-rate video compression
- 1 January 1999
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 8 (8), 1125-1129
- https://doi.org/10.1109/83.777093
Abstract
This paper presents a novel postprocessing algorithm developed specifically for very low bit-rate MC-DCT video coders operating at low spatial resolution, postprocessing is intricate in this situation because the low sampling rate (as compared to the image feature size) makes it very easy to overfilter, producing excessive blurring. The proposed algorithm uses pixel-by-pixel processing to identify and reduce both blocking artifacts and mosquito noise while attempting to preserve the sharpness and naturalness of the reconstructed video signal and minimize the system complexity. Experimental results show that the algorithm successfully reduces artifacts in a 16 kb/s scene-adaptive coder for video signals sampled at 80×112 pixels per frame and 5-10 frames/s. Furthermore, the portability of the proposed algorithm to other block-DCT based compression systems is shown by applying it, without modification, to successfully post-process a JPEG-compressed imageKeywords
This publication has 6 references indexed in Scilit:
- Reduction of blocking effect in image codingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Adaptive postprocessing algorithms for low bit rate video signalsIEEE Transactions on Image Processing, 1995
- Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed imagesIEEE Transactions on Circuits and Systems for Video Technology, 1993
- Iterative procedures for reduction of blocking effects in transform image codingIEEE Transactions on Circuits and Systems for Video Technology, 1992
- A New Algorithm for Image Edge Extraction Using a Statistical Classifier ApproachIEEE Transactions on Pattern Analysis and Machine Intelligence, 1987
- Nonlinear space-variant postprocessing of block coded imagesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1986