Signal processing, 2010-04, Vol.90 (4), p.1279-1289
2010
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Details
- Autor(en) / Beteiligte
- Titel
- Automatic wavelet base selection and its application to contrast enhancement
- Ist Teil von
- Signal processing, 2010-04, Vol.90 (4), p.1279-1289
- Ort / Verlag
- Amsterdam: Elsevier B.V
- Erscheinungsjahr
- 2010
- Quelle
- Alma/SFX Local Collection
- Beschreibungen/Notizen
- In this paper, we propose a novel approach to automatic selecting wavelet bases and parameters which is an important and essential issue for implementing wavelet algorithms. The proposed approach is applied to contrast enhancement which is one of the fundamental topics in image processing, pattern recognition and computer vision. Our method utilizes wavelet transform to decompose the image, and then modifies the coefficients by employing the proposed method to perform contrast enhancement. Experimental results demonstrate that the proposed method is very efficient in contrast enhancement without under-enhancement and over-enhancement, and it is superior to some other existing methods.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0165-1684eISSN: 1872-7557DOI: 10.1016/j.sigpro.2009.10.013Titel-ID: cdi_proquest_miscellaneous_901708207
- Format
- –
- Schlagworte
- Algorithms, Applied sciences, Artificial intelligence, Computer science, control theory, systems, Computer vision, Detection, estimation, filtering, equalization, prediction, Exact sciences and technology, Image contrast, Image enhancement, Image processing, Information, signal and communications theory, Over-enhancement, Pattern recognition, Pattern recognition. Digital image processing. Computational geometry, Signal and communications theory, Signal processing, Signal, noise, Telecommunications and information theory, Under-enhancement, Wavelet, Wavelet basis, Wavelet transform, Wavelet transforms