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Image Resolution and Contrast Enhancement Using Singular value and Discrete wavelet Decomposition

机译:使用奇异值和离散小波分解的图像分辨率和对比度增强

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This paper proposes the image resolution and contrast enhancement techniques using DWT (Discrete wavelet transform), SWT (Stationary wavelet transform) and SVD (Singular value decomposition). The low resolution and contrast input image is equalized using GHE (Generalized histogram equalization). This equalized image is decomposed into the four frequency subbands by using DWT and the four subband images are interpolated using Bicubic interpolation technique. In this proposed method, the new LL is reconstructed using SVD and edges are enhanced using SWT. Then all these subbands are reconstructed as high resolution image using IDWT (Inverse discrete wavelet transforms). Hence this proposed algorithm enhances the image resolution and contrast over the conventional techniques. The experimental result shows the superiority of the proposed method over conventional techniques.
机译:本文提出了使用DWT(离散小波变换),SWT(平稳小波变换)和SVD(奇异值分解)的图像分辨率和对比度增强技术。低分辨率和对比度输入图像使用GHE(广义直方图均衡)进行均衡。通过使用DWT将该均衡的图像分解为四个频率子带,并使用Bicubic插值技术对四个子带图像进行插值。在该方法中,使用SVD重建新的LL,并使用SWT增强边缘。然后,使用IDWT(逆离散小波变换)将所有这些子带重建为高分辨率图像。因此,与传统技术相比,该算法提高了图像分辨率和对比度。实验结果表明,该方法优于传统技术。

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