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Fundamentals Of Image Compression & Comparative Study Of Relative Study Of JPEG & Hybrid(DWT+DCT) Model

机译:图像压缩基础与JPEG和Hybrid(DWT + DCT)模型相对研究的比较研究

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In this paper we have discussed the fundamentals of image compression and compared the results of JPEG and a Hybrid model. In hybrid model we have used DWT (Discrete Wavelet Transform) and DCT (Discrete cosine Transform) for transform mapping. As we know that DWT has its multi resolution property which is helpful for image compression. As in JPEG 2000 also DWT is used but EBCOT (Embedded Block Code for Optimal Truncation) coding has high computational complexity. For JPEG we have taken results for different quality factor values and for hybrid model also we have taken results for different quality factor values and compared it is observed that for very less variation in PSNR value compression ratio has increased considerably.
机译:在本文中,我们讨论了图像压缩的基本原理,并比较了JPEG和Hybrid模型的结果。在混合模型中,我们已使用DWT(离散小波变换)和DCT(离散余弦变换)进行变换映射。众所周知,DWT具有多分辨率特性,有助于图像压缩。与在JPEG 2000中一样,也使用DWT,但是EBCOT(最佳截断的嵌入式块码)编码具有很高的计算复杂度。对于JPEG,我们获得了针对不同质量因子值的结果,对于混合模型,我们也针对了不同质量因子值的结果,并进行了比较,结果发现,由于PSNR值压缩率的变化非常小,因此压缩率大大提高。

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