基于彩色化的色度图像超分辨率重建算法研究

Research on Super-Resolution Reconstruction Algorithm of Chromatic Image Based on Colorization

图像超分辨率重建算法一般仅采用差值处理色度信息,对色度重视不够,重构图像色彩质量不高。因此,提出了一种基于彩色化的色度图像超分辨率重建算法。介绍了图像评价的基本标准和灰色图像彩色化的关键技术。从图像初始色彩质量、图像彩色化算法等方面,探讨了基于彩色化的色度图像超分辨率重建算法。实验结果表明,运用此算法重建后的高分辨率图像和原图的结构相似性较高。重视色度处理,可提升高分辨率彩色图像质量,减少边缘区域范围内图像的色彩失真现象。

Traditional image super-resolution reconstruction algorithms only use difference to process chromaticity information,but do not pay attention to chromaticity,resulting in low quality of reconstructed image color. In this paper,a color-based super-resolution reconstruction algorithm for chromatic image is designed. Firstly,the basic criteria of image evaluation and the key technologies of gray image colorization are introduced. Then the super-resolution reconstruction algorithm based on color image is studied from the aspects of image initial color quality and image colorization algorithm. Finally,the effectiveness of the algorithm is verified by experiments. The experimental results show that similarity of the reconstructed high-resolution image and the original image is higher. Chromaticity processing of the color image can improve the quality of the high-resolution color image. At the same time,the color distortion of the image in the edge region is lower.