Analysis And Synthesis of Image Using Wavelet Transform and Compression Methods

P. S. Srinivasa Rao, B. Srinivasa Rao, Santhosh Kumar, G. Sreenivasulu
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Abstract

In this paper, deal with image for analyze and compress without loss of brightness by wavelet transformation with various compression methods. Generally, image or signal can be analysed either frequency or time domain. In wavelet transformation the image can be considered in frequency and time domain. In this technique image can be compressed or reduced about 70% of original image without loss of brightness. The wavelet transformation is performed for small and large data. It can be chunked signal from large signal and examined for small signal without maximum loss of threshold.
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基于小波变换和压缩方法的图像分析与合成
本文利用小波变换和各种压缩方法对图像进行无亮度损失的分析和压缩。通常,图像或信号可以进行频域或时域分析。在小波变换中,图像可以从频域和时域考虑。在该技术中,图像可以在不损失亮度的情况下被压缩或缩小到原始图像的70%左右。对小数据和大数据分别进行小波变换。它可以在不损失最大阈值的情况下对大信号进行分块和小信号检测。
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