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Color image interpolation in the DCT domain using a wavelet-based differential value

机译:使用基于小波的微分值在DCT域中进行彩色图像插值

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摘要

We propose a new image-interpolation technique using a combination of an adaptive directional wavelet transform (ADWT) and discrete cosine transform (DCT). In the proposed method, we use ADWT to decompose the low-resolution image into different frequency subband images. The high-frequency subband images are further transformed to DCT coefficients, and the zero-padding method is used for interpolation. Simultaneously, the low-frequency subband image is replaced by the original low-resolution image. Finally, we generate the interpolated image by combining the original low-resoultion image and the interpolated subband images by using inverse DWT. Experimental results demonstrate that the proposed algorithm yields better quality images in terms of subjective and objective quality metrics compared to the other methods considered in this paper.
机译:我们提出了一种新的图像插值技术,它结合了自适应方向小波变换(ADWT)和离散余弦变换(DCT)。在提出的方法中,我们使用ADWT将低分辨率图像分解为不同的频率子带图像。高频子带图像被进一步变换为DCT系数,并且零填充方法被用于插值。同时,将低频子带图像替换为原始的低分辨率图像。最后,通过使用逆DWT将原始的低分辨率图像和内插子带图像组合在一起,生成内插图像。实验结果表明,与本文考虑的其他方法相比,该算法在主观和客观质量指标上均能产生更好的图像质量。

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