A Proposed Technique for Gray Image Colorization

Abstract

The colorization of the gray-scale image is the process of using color image (has a similar "mood") to add color to a grayscale image. In this paper, we proposed new approach for colorization gray-scale images depending on Singular Value Decomposition (SVD). We used SVD to add color to a grayscale image by determining the best pixel value in the reference image, based on comparing the first column values from the left singular vector matrix of 3x3 block and the pixel value in the center of block of the gray image with other corresponding values in the reference image. Finally, use the best match to transfer color from color image to gray-scale image. The results of the proposed colorization approach are good and plausible.

Underground cable laying environment survey method based on wide-angle image distortion removal algorithm

“…When the mechanical wall moves to the cable nameplate, the Raspberry Pi's built-in high-definition camera takes a more detailed picture of the cable nameplate. After collecting clearer and more detailed images of the cable nameplate, in order to better adapt to computer programs and reduce the complexity of computer operations, the collected cable nameplate images are subjected to grayscale transformation [7]. The essence of grayscale transformation of images is to perform effective conversion processing operations on images containing color information, converting them into a process that only contains brightness information.…”