Backlight scaled contrast enhancement for liquid crystal displays using image key-based compression
Xiaoke Wang, Cheolkon Jung · 2016
Most existing contrast enhancement methods obtain the maximum clipping point by iterations under a given PSNR/SSIM value, and perform backlight scaling to maintain image quality. However, they need high computational complexity to determine the optimal clipping point and often cause over-saturation in images. In this paper, we propose backlight scaled contrast enhancement for LCDs without given PSNR/SSIM values using image key-based compression. We automatically determine the optimal clipping point for backlight scaling using image decomposition and image key-based compression. We first decompose an image into base and detail layers using bilateral filtering, and then determine the maximum clipping point using image key-based compression. Finally, we perform image compensation from the clipping point using gamma correction. Extensive experiments on various test images demonstrate that the proposed method minimizes over-saturation effects and enhances overall image quality in backlight scaling while significantly reducing power consumption.