Resolution enhancement of images taken by a mobile phone camera

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info:eu-repo/semantics/closedAccess

Abstract

Carey and co-researchers have estimated a super-resolution technique DA SR (Demirel-Anbarjafari Super Resolution), based on interpolation of the high frequency sub-band images obtained by discrete wavelet transform (DWT). Their estimation was carried out by investigating the evolution of wavelet transform extrema among the same type of subbands. Edges identified by an edge detection algorithm in lower frequency subbands were used to prepare a model for estimating edges in higher frequency subbands; and only the coefficients with significant values were estimated as the evolution of the wavelet coefficients. Finally, interpolated high-frequency sub-band images and the interpolated input image are combined by using IDWT to achieve a high resolution output image. The technique has been implemented in Java language in order to be installed on the mobile phones. The DA SR technique has been tested on well-known benchmark images.

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Edge detection algorithms, High frequency, High frequency HF, High-resolution output, Higher frequency subbands, Input image, Java language, Lower frequencies, Mobile phone cameras, Resolution enhancement, Subbands, Super resolution, Wavelet coefficients, Discrete wavelet transforms, Edge detection, Java programming language, Cellular telephones

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Electronics World

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118

Issue

1910

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