离散小波变换采用吠陀乘法器进行图像压缩

2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) Pub Date : 2018-02-01 DOI:10.1109/SCEECS.2018.8546873

Tripathi Satyendra, M. Bharat

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引用次数: 0

摘要

乘法器在图像信号处理、数字信号处理和FIR滤波器的设计中起着重要的作用。由于实时数字信号处理在医疗、卫星等各个领域的应用，其应用迅速增长。为了提高乘法器的速度，已经开发了许多乘法器，吠陀乘法器是比传统乘法器、摊位乘法器等其他乘法器更快更有效的乘法器之一。压缩图像的主要目的是减少图像数据的传输和存储。图像压缩要求具有较高的压缩性能和对关键图像的保护。本文提出了一种基于小波的图像压缩方案，它是利用吠陀乘法器进行图像压缩的最强大的压缩技术之一。

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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DISCRETE WAVELET TRANSFORM USING VEDIC MULTIPLIER FOR IMAGE COMPRESSION

Multipliers are playing an important role in design of Image signal processing, Digital signal processing and FIR filter. The application of real time digital signal processing is fast growing due to it utility in all area like medical, satellite etc.. A number of multipliers has developed for increase the multiplier speed and Vedic multiplier is one of the fast and loe power multiplier over other multiplier like traditional, booth etc.. The main objective of compressed image is to decrease the image data to be able to transmit and store. Image compression has needed for high compression performance and protection of critical image. Wavelet-based image compression scheme is one of the most powerful compression technique using Vedic multiplier is presented in this paper.

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来源期刊

2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)

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