
In order to analyze the image blur of displays, a simple equation to correlate the motion picture response time (MPRT) with LC response time and TFT frame rate is established. Three effective approaches to reduce MPRT are:(1) fast LC response time; (2) high frame rate, and (3) appropriate backlight duty ratio. At 120 Hz frame rate, if the LC's response time is less than 2 ms, then its MPRT would be comparable to that of OLED. LC response time can be greatly improved by employing an ultra-low viscosity LC and developing fast-response LCD modes. To achieve CRT-like MPRT (less than 1.5 ms), we could increase the frame rate or decrease the duty ratio.
To overcome the disadvantages that non local total variation based on L2 norm doesn't consider the nonlocal gradient and can't effectively recovery image's texture, a new non local total variation based on L1 norm is proposed. The paper first analyzes the characteristics of the new algorithm, and then employs the new algorithm for image recovery. Bregman iteration scheme is used to optimize the image recovery problems. Finally, the comparing experimental results show that the proposed non local total variation model based on L1 norm reconstructs more image details and gains more 1 dB higher peak signal to noise ratio than non local total variation model based on L2 norm.
Material Science
Driver and System
Image Processing