Structural similarity based image compression for LCD overdrive

In order to utilize the liquid crystal display (LCD) overdrive technique, it is necessary to store the previous frame in frame memory and compress the frame to reduce the memory burden, in particular, when the frame size is large. When an image is displayed in the LCD, the motion blur mainly occurs near the edge, so that structural information is very important when compressing the image. Recently, a structural similarity (SSIM) index has been proposed to measure the quality based on the image structure. In this paper, we propose an image compression and adaptive mode selection algorithm for maximizing the SSIM performance. In the simulation results, we compare our results with conventional schemes and demonstrate that the SSIM based scheme provides a significant performance improvement.