The coarse-grained reconfigurable image stream processor (CRISP) architecture is introduced for the image processing demands of high-definition (HD) cameras and camcorders. With several architectural concepts of the reconfigurable architecture, the CRISP architecture is proposed to meet the performance and flexibility requirements of the HD cameras. A multi-frame processing system with CRISP is implemented to achieve the real-time HD video recording and 11M-pixel image processing capability. Compared with the performance of the high-dynamic-range image fusion algorithm implemented with a general-purpose processor, 106 times speed-up is achieved by the proposed processor with high image quality of 42.5dB in PSNR.
Demosaicking is a color interpolation process that converts a raw image generated by a color filter array to a full color image. For most of the proposed demosaicking methods, the design only focus on image quality without considering the VLSI hardware cost. In this paper, the hardware cost required for many demosaicking algorithms is first analyzed. According to this analysis, a cost effective method is proposed by use of chrominance variance weighting scheme. Experimental results show that the proposed method can achieve better image quality in PSNR than the existing methods on variety of test images while low hardware cost is still maintained. It shows that this method can be a good compromise between image quality and hardware cost.
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