Two-dimensional sub-pixel sampling-based super-resolution display method and device

Abstract

The invention discloses a two-dimensional sub-pixel sampling-based super-resolution display method and a two-dimensional sub-pixel sampling-based super-resolution display device. Based on the characteristic of diversity of R, G and B primary color sub-pixel arrangement of flat panel display equipment, a Nyquist frequency limiting region of each primary color sub-pixel arrangement is calculated, and a group of R, G and B primary color anti-aliasing filters is designed on the basis of the calculated Nyquist frequency limiting region of each primary color sub-pixel arrangement, so that the aim of weakening and even eliminating the aliasing introduced by sub-pixel sampling is fulfilled while a high image sensing resolution is kept. According to the method and the device, corresponding anti-aliasing filtering is applied to R, G and B primary color components of an original image respectively, and then sub-pixel sampling is performed on the filtered image according to the spatial position structure of the two-dimensional sub-pixel arrangement of the display equipment. The visual perception resolution of the flat panel display equipment is improved at a lower cost on the premise of not changing any physical attribute, super-resolution display of the display equipment is realized, and meanwhile, the method is simple and easy to implement.

Description

technical field [0001] The invention relates to image signal processing and space resolution enhancement technology of flat panel display equipment, in particular to a super-resolution display method and device based on two-dimensional sub-pixel sampling. Background technique [0002] The picture quality, production cost, and manufacturing process of flat panel display devices are closely related to the scale of physical pixels. Under the same physical pixel, the sub-pixel sampling technology based on the human eye spatial color mixing effect increases the brightness resolution of the displayed image at the cost of color aliasing, thereby effectively improving the display quality of the picture, because the human eye has a high degree of chromaticity. Sensitivity is much lower than sensitivity to brightness. Sub-pixel sampling technology can make high-resolution images clearly displayed on low-resolution devices, thereby realizing super-resolution display of display devices...

AI Technical Summary

Problems solved by technology

This method needs to perform edge detection on the image before the low-pass filter processing, the algorithm is more complicated, and at the same time reduces the processing speed of the image

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