文章基本信息

标题：Paper has been removed due to technical Issue
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作者：Gurjeet Kaur ; Gaganpreet Kaur ; Dr. Dheerendra Singh 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：2
页码：14-18
语种：English
出版社：Ayushmaan Technologies
摘要：Quantization of a digital image is a process of generating optimal quantization levels. Generally when image is represented in a graphical device, quantization problem occurred because the resolution effects the image compression. The discretization of the color information reduces the image size and it is very much similar to normal compression process. Quantization is used for changing color resolution of an image with minimum distortion possible. Quantization process carries the process of discretization of the image’s color gamut which in turn used in a reduction of the color information linked with pixel in the particular image. Quantization is a challenging job for high resolution images these days. In our research, we will use new optimization method Pollination Based Optimization (PBO) to select best optimal quantization level of the image. Pollination based optimization will be used to find the optimal quantization level for best fit resolution and will try to decrease the quantization error over possible portions of the color space.
关键词：Quantization;Segmentation;Optimization;Pollination Based Optimization