哈夫曼算法和位提取在图像均衡中的应用

L. Flores-Pulido, M. Olivares-Gonzalez, Mauricio Osorio, O. Starostenko
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引用次数: 1

摘要

计算机视觉包含几个形态学和数学过程。图像压缩需要涉及算法和图像处理技术的方法。AHBE系统(哈夫曼算法与比特提取法相结合)为光强条件下的图像压缩提供了一种新的方法。图像预处理在机器人应用中非常有用,可以避免噪声数据提供相关信息和数据的归一化向量。Hoffman算法是一种贪婪的技术,它与比特提取技术相结合,提高了图像的亮度和对比度,以一种新颖的方式压缩二进制像素码,获得图像均衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HABE: Huffman Algorithm and Bit Extraction Applied to Image Equalization
Computer vision imply several morphological and mathematical process. Image compression requires methods which involves algorithms and image processing techniques. AHBE system (Algorithm of Huffman combined with Bit Extraction method) provides a novel method to image compression when high quantity of light is present. Preprocessing images is useful in robotics applications to avoid noised data providing relevant information and normalized vector of data. Hoffman algorithm is a greedy technique that is combined with Bit Extraction technique that improves bright and contrast for images obtaining an image equalization in a novel way compressing binary pixels code.
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