Verilog implementation of adaptive compression of RGB images at low bit rates

T. Arjun, Pranose J. Edavoor, S. Raveendran, K. P. Sumesh, Y. Nithin Kumar, M. H. Vasantha, Dheeraj Sharma
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引用次数: 2

Abstract

To meet the ever increasing demand for transferring image and video data in present day communication system without compromising the speed, either the channel bandwidth has to be increased or the total data traffic has to be decreased. As small screen devices and chat applications do not need original quality images to be reconstructed, certain relaxation on the quality of image is allowed if the total data traffic can be reduced to a great extent. Due to this reducing the size of the image to be sent by transforming it to a sparse domain, followed by decoding to retain the required quality has emerged as a solution. Verilog implementation of the proposed algorithm gives permission to the user to set the quality of the image to be reconstructed (by defining PSNR value) and allows the user to set the required compression by assigning the value of bits per pixel(bpp).
Verilog实现了RGB图像在低比特率下的自适应压缩
为了在不影响传输速度的前提下满足当前通信系统对图像和视频数据传输日益增长的需求,要么增加信道带宽,要么降低总数据流量。由于小屏幕设备和聊天应用不需要对原始质量图像进行重构,如果能够在很大程度上减少总数据流量,则允许对图像质量进行一定的放松。因此,通过将图像转换到稀疏域来减小要发送的图像的大小,然后进行解码以保持所需的质量已成为一种解决方案。该算法的Verilog实现允许用户设置要重建的图像的质量(通过定义PSNR值),并允许用户通过分配每像素比特(bpp)的值来设置所需的压缩。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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