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An improved NAS-RIF Algorithm based on Wavelet Packet

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Wael M. Khedr, Mohamed S. Sawah
10.5120/ijca2016908416

Wael M Khedr and Mohamed S Sawah. Article: An improved NAS-RIF Algorithm based on Wavelet Packet. International Journal of Computer Applications 135(8):10-13, February 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Wael M. Khedr and Mohamed S. Sawah},
	title = {Article: An improved NAS-RIF Algorithm based on Wavelet Packet},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {135},
	number = {8},
	pages = {10-13},
	month = {February},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Image restoration is widely applied in many areas. When operating on images with different scales for the representation of pixel intensity levels or low SNR, the traditional restoration algorithm lacks validity and induces noise amplification, ringing artifacts and poor convergent ability. In this paper, an improved NAS-RIF algorithm is proposed to overcome the shortcomings of the traditional algorithm. The improved algorithm proposes a solution for blurred with noise image by constrained maximization of some of the detail wavelet packet energies. This algorithm gives enhancement with the sharpness of the deconvolved images. In determining the support region, a pre-segmentation is used to form it close to the object in the image, Moreover, as compared with the traditional algorithm. Simulations show that the improved algorithm behaves a better convergence, noise resistance and provides a better estimate of the original image.

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Keywords

Blurred image, NAS-RIF algorithm, Image Restoration, Point Spread Function (PSF), Conjugate Gradient (CG), Peak Signal to Noise Ratio (PSNR) and wavelet packet function.