一种基于ROI的图像压缩新方法——简单滑动窗空间滤波

Rajasekhar Reddy M, Ravichandran K.S., Anashwara. P, A. S, Venkatraman
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引用次数: 0

摘要

通过减小文件大小,可以增加在给定数量的硬盘中存储的图像数量,并且减少了通过互联网发送图像所需的时间。图像压缩是我们日常生活中常用的自适应方法,用于减少所有块。有许多现有的技术和原型可用于压缩。本文讨论了简单滑动窗口空间滤波器和均值滤波器在图像压缩中的特殊概念。可以使用ROI从图像中选择所需的区域,然后对图像进行进一步压缩处理。该方法首先采用离散余弦变换,然后采用合适的编码技术。各种组合的压缩应用来找到最好的一个。
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A new approach to ROI based image compression using simple sliding window spatial filter
By reducing the file size, the number of images stored in the given amount of hard disk can be increased and the time required to send images over the internet has been reduced. Image compression is the common and adaptive method used for reducing all the chunks in our day to day life. There are many existing techniques and protypes available for compression. This paper deals with the special concepts on image compression using simple sliding window spatial filter or mean filter. The desired region can be selected using ROI from the image which can be processed for further compression of images. The proposed method uses DCT followed by the suitable encoding techniques. Various combinations of compression applied to come across the best one.
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