Block artifact reduction in BMA-based super-resolution video processing

Young Wook Sohn; Moon Gi Kang

doi:10.1117/12.766197

3 March 2008 Block artifact reduction in BMA-based super-resolution video processing

Young Wook Sohn, Moon Gi Kang

Proceedings Volume 6812, Image Processing: Algorithms and Systems VI; 681212 (2008) https://doi.org/10.1117/12.766197
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

Super-resolution (SR) video processing method with reduced block artifacts using conventional block-matching algorithm (BMA) is proposed. To get high-quality SR results, accurate motion vectors are necessary in registration process. For real applications, block-based motion estimators are widely used, which show block-based motion errors if their motion vectors are employed for the registration. Incorrectly registered pixels due to the block-based motion errors limit the image quality improvement of the SR processing and even degrade the results by causing block artifacts. To reduce the artifacts from the inaccurately registered pixels, a weighting function using three-dimensional confidence measure is proposed in this paper. The measure uses spatial and inter-channel analysis to suppress the weight on incorrectly registered pixels during the SR process. Motion-compensated pixel differences and motion vector variances between previous and current frames are utilized for spatial analysis, and motion vector variance with constant acceleration model and pixel difference variances through LR frames are used for inter-channel analysis. Experimental results show significantly improved results in error regions keeping enhanced quality with accurately registered pixels, when motion vectors are found by conventional BMAs.

Citation Download Citation

Young Wook Sohn and Moon Gi Kang "Block artifact reduction in BMA-based super-resolution video processing", Proc. SPIE 6812, Image Processing: Algorithms and Systems VI, 681212 (3 March 2008); https://doi.org/10.1117/12.766197

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KEYWORDS

Video processing

Reliability

Super resolution

Image processing

Image registration

Motion estimation

Lawrencium

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