1. Content adaptive image de-blocking
- Author
-
R.E.J. Kneepkens, Paul M. Hofman, M. Zhao, and G. de Haan
- Subjects
Pixel ,business.industry ,Computer science ,Image quality ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,computer.file_format ,Blocking (statistics) ,JPEG ,Adaptive filter ,Digital image ,Computer vision ,Artificial intelligence ,business ,computer ,Transform coding ,Block (data storage) - Abstract
Blocking artifacts may appear in block based digital image and video coding systems like JPEG and MPEG, especially when compression is done at a low bit-rate. The blocking artifacts can degrade the perceived image quality. In this paper, a method for reducing the blocking artifacts in the decoded image using adaptive filters is proposed. The selection of the proper filter is based on the local image pattern and/or the relative pixel position in the coding block. The results show a significant image quality improvement. To evaluate the methods, both Mean Square Error (MSE) scores and Block-edge Impairment Metric (BIM) are given for objective comparison. Screen shots are also shown to demonstrate the subjective quality.
- Published
- 2005
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