期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2012
卷号：3
期号：5
页码：1
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this paper, we propose block-based motion estimation (ME) algorithms based on the pixelwiseclassification of two different motion compensation (MC) errors: 1) displaced frame difference (DFD) and2) brightness constraint constancy term (BCCT). Block-based ME has drawbacks such as unreliablemotion vectors (MVs) and blocking artifacts, especially in object boundaries. The proposed block matchingalgorithm (BMA)-based methods attempt to reduce artifacts in object-boundary blocks caused by incorrectassumption of a single rigid (translational) motion. They yield more appropriate MVs in boundary blocksunder the assumption that there exist up to three nonoverlapping regions with different motions. Theproposed algorithms also reduce the blocking artifact in the conventional BMA, in which the overlappedblock motion compensation (OBMC) is employed especially to the selected regions to prevent thedegradation of details. Experimental results with several test sequences show the effectiveness of theproposed algorithms.
