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HABE: Huffman Algorithm and Bit Extraction Applied to Image Equalization

机译:HABE:霍夫曼算法和位提取在图像均衡中的应用

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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.
机译:计算机视觉暗示着几种形态学和数学过程。图像压缩需要涉及算法和图像处理技术的方法。 AHBE系统(霍夫曼算法与位提取方法相结合)为存在大量光的情况下的图像压缩提供了一种新颖的方法。预处理图像在机器人应用程序中很有用,以避免噪声数据提供相关信息和数据的归一化向量。霍夫曼算法是一种贪婪技术,它与位提取技术结合在一起,可以以一种新颖的方式压缩二进制像素代码,从而提高图像的亮度和对比度,从而获得图像均衡。

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