This study introduces a block-based motion estimation algorithmbased on projection with adaptive window-size selection. Using one-dimensional (1D) projection, the original 2D block-matching problem is translated to a...
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This study introduces a block-based motion estimation algorithmbased on projection with adaptive window-size selection. Using one-dimensional (1D) projection, the original 2D block-matching problem is translated to a simpler 1D matching problem which eliminates the majority of potential pixel participation. The authors propose an efficient fast-motionestimation method using an intensity gradient algorithm to reduce the encoding time. The proposed algorithm estimates the texture direction of the block, and then a horizontal or vertical projection is employed for the sum of absolute difference calculation. Experimental results show that the proposed algorithm achieves a greater than 60% time reduction with negligible peak signal to noise ratio (PSNR) loss and BR increments.
A novel block-based motion estimation algorithm using a low-bit resolution oriented edge image (LROEI) is proposed. The algorithm produces difference blocks with little texture for DCT coding and enhances the encoding...
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A novel block-based motion estimation algorithm using a low-bit resolution oriented edge image (LROEI) is proposed. The algorithm produces difference blocks with little texture for DCT coding and enhances the encoding efficiency. Simulation based on a hierarchical subsampling telescope search confirms that the quality of the LROEI is superior to that of luminance image compared with HSTS using an 8 bit luminance image The operational loads are also reduced to 75 or 50% without quality degradation.
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