IEEE transactions on image processing, 2007-07, Vol.16 (7), p.1840-1853
2007
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Details
- Autor(en) / Beteiligte
- Titel
- Developing Nonstationary Noise Estimation for Application in Edge and Corner Detection
- Ist Teil von
- IEEE transactions on image processing, 2007-07, Vol.16 (7), p.1840-1853
- Ort / Verlag
- New York, NY: IEEE
- Erscheinungsjahr
- 2007
- Quelle
- IEEE Xplore
- Beschreibungen/Notizen
- Accurate estimation of noise and signal power is of fundamental interest in a wide variety of vision applications as it is critical to thresholding and decision processes. This paper proposes two methods for the estimation of nonstationary noise based upon models of image structure which locally separate signal from noise. The resulting algorithms are noniterative and thereby fast. The accuracy of the proposed and existing methods is compared, first separately and then in application to two common image processing tasks: edge and corner detection. It is demonstrated that the proposed model can be used to improve the stability of both, in the presence of contrast change and nonstationary noise.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1057-7149eISSN: 1941-0042DOI: 10.1109/TIP.2007.894251Titel-ID: cdi_proquest_journals_865032463
- Format
- –
- Schlagworte
- Algorithms, Anisotropic magnetoresistance, Applied sciences, Artificial Intelligence, Computer Simulation, Corner detection, Detection, estimation, filtering, equalization, prediction, Exact sciences and technology, Gaussian noise, Image analysis, Image edge detection, Image Enhancement - methods, Image Interpretation, Computer-Assisted - methods, Image processing, Information, signal and communications theory, Mathematical models, Models, Statistical, Noise, Noise robustness, object detection, Pattern recognition, Pattern Recognition, Automated - methods, Signal and communications theory, Signal processing, Signal representation. Spectral analysis, Signal restoration, Signal to noise ratio, Signal, noise, Smoothing methods, Stability, Stochastic Processes, Tasks, Telecommunications and information theory