Color Offset Compensation Method of Art Image Based on Augmented Reality Technology

Abstract

In the production of multi-scale block-fused art images, the image quality is poor due to the sudden change and occlusion of color shift. This paper puts forward a compensation method for color shift of multi-scale block-fused art images based on augmented reality technology. Based on the attenuation of optical parameters and the control of color balance, a multi-dimensional color fusion model of background light correlation of multi-scale block fused art images is established, and the augmented reality model of multi-scale block fused art images is constructed by combining the analysis method of surface features and illumination features distribution model of art images. Through the parameter analysis of each level feature map model of the similarity degree of the previous frame under color deviation, The gray texture and color texture features of multi-scale block-fused art images with complementary advantages and disadvantages are extracted, and augmented reality technology is adopted to realize gray scale enhancement and color enhancement in the process of color compensation of art images. Combined parameter identification method is adopted to realize color adjustment and feedback compensation control of output stability of art images. According to the characteristics of high-order moment output stability of color features, color offset compensation and optimal imaging processing of multi-scale block-fused art images are realized by calculating and counting boundary corner information and texture parameter analysis. The test shows that this method performs the color offset processing of multi-scale block fusion art image sensor, improves the color offset compensation ability of art images and the true color imaging quality of images, and increases the peak signal-to-noise ratio of output images.