Algorithm of super-resolution in images and video sequences applying wavelets based on atomic functions

F. Gomeztagle, V. Kravchenko, E. Escamilla, V. Ponomaryov
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引用次数: 1

Abstract

A novel algorithm for super resolution (SR) in images and video sequences is introduced. In difference with conventional approaches, new framework employs the spatial spectral properties of an image or sequence applying wavelet technique. Novel wavelets based on atomic functions used in SR have shown good properties of resolution by extension of an image size up to 4 times in comparison with the original low resolution image. Numerous statistical simulations have demonstrated the effectiveness of the novel technique exposing good subjective visual quality as well as significant improvement of SR image..
基于原子函数的小波图像和视频序列超分辨算法
介绍了一种新的图像和视频序列的超分辨率(SR)算法。与传统方法不同,新框架利用小波技术对图像或序列的空间光谱特性进行分析。基于原子函数的新型小波在SR中应用,将图像尺寸扩展到原来低分辨率图像的4倍,显示出良好的分辨率特性。大量的统计模拟已经证明了新技术的有效性,揭示了良好的主观视觉质量以及显著改善的SR图像。
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