Efficient image sharpening and denoising using adaptive guided image filtering
- Author(s): Cuong Cao Pham 1 and Jae Wook Jeon 1
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View affiliations
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Affiliations:
1:
College of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea
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Affiliations:
1:
College of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea
- Source:
Volume 9, Issue 1,
January 2015,
p.
71 – 79
DOI: 10.1049/iet-ipr.2013.0563 , Print ISSN 1751-9659, Online ISSN 1751-9667
Enhancing the sharpness and reducing the noise of blurred, noisy images are crucial functions of image processing. Widely used unsharp masking filter-based approaches suffer from halo-artefacts and/or noise amplification, while noise- and halo-free adaptive bilateral filtering (ABF) is computationally intractable. In this study, the authors present an efficient sharpening algorithm inspired by guided image filtering (GF). The author's proposed adaptive GF (AGF) integrates the shift-variant technique, a part of ABF, into a guided filter to render crisp and sharpened outputs. Experiments showed the superiority of their proposed algorithm to existing algorithms. The proposed AGF sharply enhances edges and textures without causing halo-artefacts or noise amplification, and it is efficiently implemented using a fast linear-time algorithm.
Inspec keywords: image enhancement; image texture; rendering (computer graphics); interference suppression; edge detection; image denoising; adaptive filters
Other keywords: edge enhancement; image noise reduction; halo artefact; adaptive bilateral filtering; image processing; crisp output rendering; texture enhancement; guided image filtering; linear-time algorithm; image sharpening enhancement; shift variant technique; unsharp masking filter-based approach; sharpened output rendering; image denoising; noise amplification; adaptive GF; AGF; halo free ABF
Subjects: Electromagnetic compatibility and interference; Filtering methods in signal processing; Computer vision and image processing techniques; Graphics techniques; Optical, image and video signal processing
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