无损图像处理中Gap算法和自适应算术编码的实现

Dilip S. V. Kumar, K. Murugesh
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引用次数: 0

摘要

数字图像用于不同的应用,如航空航天,军事,科学和更多的应用。图像压缩在数据存储和通过非可信信道传输数据中具有重要意义,可以有效地利用网络带宽。在大多数情况下,图像压缩是由网络提供商完成的。这导致压缩时数据丢失,这里我们将无法得到准确的图像,即使它是无损压缩,如果我们加密和解密。为了克服这个问题,我们设计了一种高效的图像加密和压缩方法。加密后的图像由发送端进行压缩,在接收端得到无损图像。采用预测误差和随机排列技术对图像进行加密,并利用GAP算法对预测误差进行求解。采用自适应算术编码算法对加密后的图像进行压缩,得到无损图像。在这项工作中,加密和压缩的图像被解压缩和解密,而不会在接收端丢失任何数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of Gap Algorithm and Adaptive Arithmetic Coding For Loseless Image Processing
Digital images are used in different applications like aerospace, military, science and many more applications. The image compression is important in data storage and data transmission through an untrusted channel to make use of efficient network bandwidth. In most of the case image compression is done by network provider. This leads to data loss while compressing, here we will not able to get exact image even though it is lossless compression if we encrypt and decrypt. To overcome this problem, we have designed an efficient image encryption and compression. The image compression is done by transmitter after the encryption, which gives lossless image at the receiver side. To encrypt the image, the prediction error and random permutation techniques were used and the GAP algorithm is used to find the prediction error. Adaptive Arithmetic coding algorithm is used to compress the encrypted image for lossless image. In this work, the encrypted and compressed image is decompressed and decrypted without any loss of data at the receiver side.
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