NDLI: A novel hybrid approach to enhance low resolution images using particle swarm optimization

Content Provider	IEEE Xplore Digital Library
Author	Quraishi, M.I. Dhal, K.G. Choudhury, J.P. Pattanayak, K. De, M.
Copyright Year	2012
Description	Author affiliation: Dept. of IT, CSE, Kalyani Government Engineering College, India (Quraishi, M.I.; Dhal, K.G.; Choudhury, J.P.; Pattanayak, K.) \|\| Dept. of Engineering and Technological Studies, University of Kalyani, India (De, M.)
Abstract	Enhancement of low resolution images is always a priority Enhancement of low resolution images is always a priority field of digital image processing. In this paper, we propose a novel hybrid approach based on discrete wavelet transform (DWT) and particle swarm optimization (PSO). To develop the proposed method we use spatial domain as well as frequency domain. To reduce the low frequencies from the input image we use the frequency domain. DWT is used to decompose the input low resolution image into different sub bands. Each of the interpolated high frequency sub band (LH, HL, HH) is then summed up with the interpolated output image of the frequency domain. In order to achieve high resolution image, the estimated high frequency sub bands of the intermediate stage and the interpolated low resolution input image have been combined by using inverse DWT. To generate a better high resolution image particle swarm optimization (PSO) technique has been used. The quantitative (root mean square error, normalized cross correlation, normalized absolute error) and visual outcome show the strength of this proposed method.
Starting Page	888
Ending Page	893
File Size	2093286
Page Count	6
File Format	PDF
ISBN	9781467329224
e-ISBN	9781467329255
DOI	10.1109/PDGC.2012.6449941
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution Discrete wavelet transform Image edge detection Gray-scale Low resolution RMSE Particle swarm optimization Optimization High pass filter NCC Interpolation Continuous wavelet transforms NAE First fourier transform Silicon
Content Type	Text
Resource Type	Article

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