标题：Performance Analysis of Various Window Sizes for Colorization of Grayscale Images using LBG and KFCG Vector Quantization Codebooks in RGB and Kekre’s LUV Color Spaces
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2011
卷号：1
期号：4
页码：148-153
出版社：International Journal of Soft Computing & Engineering
摘要：Colorization is a computer aided process of adding colors to a grayscale image or videos. The paper presents use of assorted window sizes and their impact on colorization of grayscale images using Vector Quantization (VQ) Codebook generation techniques in different color spaces such as RGB and Kekre’s LUV. The paper also analyses the performance of Vector Quantization Algorithms Linde Buzo and Gray Algorithm (LBG) and Kekre’s Fast Codebook Generation Algorithm (KFCG) for colorization of grayscale images. Experimentation is conducted on both RGB and Kekre’s LUV color space for the different pixel windows of sizes 1x2, 2x1, 2x2, 2x3, 3x2, 3x3, 1x3, 3x1, 2x4, 4x2, 1x4 and 4x1 to compare results obtained across various grid sizes
关键词：Color palette; Color spaces; Vector;Quantization; LBG; KFCG.
