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基于小波变换和插值的超分辨率图像处理算法 被引量:15

Super Resolution Image Processing Algorithm Based on Wavelet Transform and Bilinear Interpolation
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摘要 根据图像小波变换和插值处理的特点 ,提出了一种将小波分解与插值算法相结合的图像插值处理方法 ,以提高图像的分辨率。通过实验表明 :该方法能够较好的保持原图像中丰富的高频信息 ,经插值处理并小波重建后提高了图像分辨率 ,而且图像主观上具有很好的视觉效果 ,客观上具有较高的信噪比 ,并图像中细节丰富 ,无明显的畸变 。 According to characteristic of image wavelet transform and interpolation, this paper proposes an image interpolation method combining wavelet transform and interpolation algorithm, which can improve the image resolution. Experiments show that the algorithm can properly retain abundant high frequency information in original image. After interpolation processing and wavelet reconstruction, we can obtain an image with higher resolution, better visual effect, higher Signal Noise Ratio (SNR), more detail information and no apparent warp. Therefore, this algorithm is an effective method of super resolution image processing.
出处 《武汉理工大学学报》 CAS CSCD 2002年第8期63-66,共4页 Journal of Wuhan University of Technology
基金 北京大学国家重点实验室基金 (2 0 0 1- 0 4 ) "十五"民用航天预研基金资助 (2 0 0 1)
关键词 小波变换 插值 图像处理 超分辨率 wavelet transform interpolation image processing super resolution
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