文章基本信息

标题：A Study of Image and Partitioning meant for FPGA Implementation of Image Refurbishment
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作者：K.Lavanya ; Kannan Subramanian
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：11
出版社：S&S Publications
摘要：It is almost safe to state that there are no applications where images are acquired or processed which donot have active or potential work on image restoration. In the center of work lies an FPGA implementation of aniterative image restoration algorithm. Hardware design for the image restoration algorithm and estimations on theperformance of the FPGA implementation is presented. During the restoration of an image each region is restored foras many iterations until the convergence criterion is met. The hardware solution primarily exploits the concept ofparallelism in order to gain speed-up against software implementations. Since excessive amount of hardware isneeded to restore image of practical size , statistical method for analysis of images is done and hence images aresegmented. Results show that the speedup gained for practical systems varies between 6.5 and 10.2 for differentimages.