Abstract
High compression ratios for both still images and sequences of images are usually achieved by discarding information represented by block discrete cosine transform (BDCT) coefficients which is considered unimportant. This compression procedure yields images that exhibit annoying block artifacts. In this paper we examine the reconstruction of BDCT compressed images which results in the removal of the blocking artifact. The method we propose for the reconstruction of such images, is based on a hierarchical Bayesian approach. With such an approach image and degradation models are required. In addition, unknown hyperparameters, usually the noise and image variances, have to be estimated in advanced or simultaneously with the reconstructed image. We show how to introduce knowledge about these parameters into the reconstruction procedure. The proposed algorithm is tested experimentally.
Original language | English |
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Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
Pages | 70-81 |
Number of pages | 12 |
Volume | 2952 |
State | Published - 1996 |
Event | Digital Compression Technologies and Systems for Video Communications - Berlin, Ger Duration: Oct 7 1996 → Oct 7 1996 |
Other
Other | Digital Compression Technologies and Systems for Video Communications |
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City | Berlin, Ger |
Period | 10/7/96 → 10/7/96 |
ASJC Scopus subject areas
- General Engineering
- Applied Mathematics
- Computer Science Applications
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics