Adaptive spatial noise shaping for DCT based image compression

Authors:
S. J. P. Westen;R. L. Lagendijk;J. Biemond
Affiliations:
Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands;-;-
Venue:
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Year:
1996

Citing 0
Cited 2

Adaptive fuzzy filtering for artifact reduction in compressed images and videos

IEEE Transactions on Image Processing
Optimal motion compensated spatio-temporal filter for quality enhancement of H.264/AVC compressed video sequences

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The most important visual artefacts that result from DCT based image compression are mosquito noise and blocking. Mosquito noise becomes visible due to the uniform spatial distribution of the quantization noise in blocks which contain textured as well as flat regions, which results in clearly visible noise in the flat regions. Spatial noise shaping is an encoder based technique which can be used to reduce mosquito noise by "hiding" the noise in that part of the block where it has the lowest visibility. We propose an efficient noise-shaping algorithm which gives accurate control of the spatial noise distribution. The encoder based technique is fully compatible with the JPEG and MPEG standards. Experiments show that noise shaping leads to a significant mosquito noise reduction.