Correction method of color distortion of projected display images

Abstract

The invention discloses a correction method of color distortion of projected display images. The correction of color distortion of images is divided into three simple steps, such as geometrical mapping, radiometric calibration and input images computation of correction of color distortion to ensure that the process of correction has low operation complexity and is suitable for low-end microprocessors, thereby reducing the operation cost. The invention provides two correction purposes for choice expands the application range of the method and increases the projected display function. Meanwhile, by the treatment of a cross-border step, the corrected images effectively compensate the color distortion on screen and simultaneously ensure the robustness of the method. Moreover, adaptive adjustment can be realized in the process of cross-border treatment according to image contents and overall surface characteristics so as to ensure the quality of the corrected output images, thereby achieving the purposes of comprehensively considering cost, functions and performance in product development, and being favorable for promoting the expansion of the projected display from high-end applications to low-end consumption electronic applications.

Description

technical field [0001] The invention relates to a method for correcting digital image color in the field of projection display, in particular to a method for correcting image color distortion when projection display is performed on a surface with texture or pattern common in daily life. Background technique [0002] With the development of projection display technology and the general demand for portable devices, projection display devices are gradually developing in the direction of portability and even miniaturization. Thus, the projected image will no longer be displayed only in a dark room environment and on a white screen, but needs to be displayed on a textured or patterned colored surface in a normal lighting environment. At this time, the projected display image will be affected by the ambient lighting and the interference of the color on the surface, which will cause distortion of the human visual perception image. [0003] In order to reproduce the projected image...

AI Technical Summary

Problems solved by technology

This type of algorithm can make up for the shortcomings of the poor robustness of the first type of algorithm, but because it needs to comprehensively consider the chromaticity characteristics of the display surface and the complex visual characteristics when the human eye observes the image, the efficiency is often very low and the operation cost is high.

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