Wavelet fusion based image super-resolution restoration of projection onto convex set

Yuzhen Cao; Ting Liu; Wei Wang; Zhanfeng Xing

doi:10.1117/12.791205

19 February 2008 Wavelet fusion based image super-resolution restoration of projection onto convex set

Yuzhen Cao, Ting Liu, Wei Wang, Zhanfeng Xing

Proceedings Volume 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications; 662519 (2008) https://doi.org/10.1117/12.791205
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

This paper proposes a new image super-resolution restoration algorithm. The development of the algorithm is based on the improvement of the classical projection on convex set (POCS) algorithm and wavelet fusion to restore a super-resolution image from a series of low resolution (LR) images. At first, the POCS iteration is used to restore high-resolution (HR) image from every LR image. Then several different rules are chosen to fuse HR images in wavelet domain, and a HR image is reconstructed by inverse wavelet transform. The reconstructed image is evaluated by entropy, cross entropy, definition and the peak signal-noise ratio. The experimental results of the processed CT images showed that this method can improve the ability of fusing different image information, and the texture of the image is more prominent, the image quality is higher.

Citation Download Citation

Yuzhen Cao, Ting Liu, Wei Wang, and Zhanfeng Xing "Wavelet fusion based image super-resolution restoration of projection onto convex set", Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 662519 (19 February 2008); https://doi.org/10.1117/12.791205

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KEYWORDS

Image fusion

Wavelets

Image processing

Lawrencium

Super resolution

Image quality

Reconstruction algorithms

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