Image characteristic adaptive image data approximations based on human visual systems

초록

High-resolution displays require substantial image data processing and frequent memory access, which increases power consumption. To address these issues, adaptive image data approximation methods based on local image characteristics and the human visual system are proposed. It approximates image data by considering pixel-background differences, spatial frequency, tailing zeros, and brightness sensitivity. It combines these HVS-based approaches to improve image data reduction while preserving perceptual image quality. Experimental results using the Kodak dataset show an average image data reduction of 43.77% while maintaining an SSIM of 0.98.

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