图像压缩采用H.264和deflate算法

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI:10.1109/ICPRIME.2012.6208351

M. Sundaresan, E. Devika

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引用次数: 3

摘要

复合图像是文字、图形和图片的组合。压缩是减少表示信息所需的数据量的过程。它还减少了通过Internet或Web页面发送数据所需的时间。复合图像压缩是在有损压缩和无损压缩的基础上进行的。有损压缩是一种通过丢弃(丢失)图像中的一些数据来压缩数据的数据编码方法。无损压缩是指在不丢失图像数据的情况下对图像进行压缩。图像压缩分为有损压缩和无损压缩两种。本文采用了不同的技术来压缩复合图像。对这些技术的性能进行了比较。

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Image compression using H.264 and deflate algorithm

Compound image is combination of text, graphics and pictures. Compression is the process of reducing the amount of data required to represent information. It also reduces the time required for the data to be sent over the Internet or Web pages. Compound image compression is done on the basis of lossy and lossless compression. Lossy compression is a data encoding method that compresses data by discarding (losing) some data in the image. Lossless compression is used to compress the image without any loss of data in the image. Image compression is done using lossy compression and lossless compression. In this paper different techniques are used for compressing compound images. The performance of these techniques has been compared.

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International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012)

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