Design of Median-type Filters with an Impulse Noise Detector Using Decision Tree and Particle Swarm Optimization for Image Restoration
Bae-Muu Chang, Hung-Hsu Tsai, Xuan-Ping Lin, Pao-Ta Yu (2010)
Computer Science and Information Systems
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Bae-Muu Chang, Hung-Hsu Tsai, Xuan-Ping Lin, Pao-Ta Yu (2010)
Computer Science and Information Systems
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Smolka, B., Chydzinski, A., Plataniotis, K.N., Venetsanopoulos, A.N. (2004)
Mathematical Problems in Engineering
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Papanikolaou, V., Plataniotis, K. N., Venetsanopoulos, A. N. (1999)
Mathematical Problems in Engineering
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Ewaryst Rafajłowicz, Mirosław Pawlak, Angsar Steland (2008)
International Journal of Applied Mathematics and Computer Science
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A class of nonparametric smoothing kernel methods for image processing and filtering that possess edge-preserving properties is examined. The proposed approach is a nonlinearly modified version of the classical nonparametric regression estimates utilizing the concept of vertical weighting. The method unifies a number of known nonlinear image filtering and denoising algorithms such as bilateral and steering kernel filters. It is shown that vertically weighted filters can be realized by...
Miroslav L. Dukić, Zoran S. Dobrosavljević (1997)
Kybernetika
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Tomasz Andrysiak, Michal Choraś (2005)
International Journal of Applied Mathematics and Computer Science
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Content Based Image Retrieval (CBIR) is now a widely investigated issue that aims at allowing users of multimedia information systems to automatically retrieve images coherent with a sample image. A way to achieve this goal is the computation of image features such as the color, texture, shape, and position of objects within images, and the use of those features as query terms. We propose to use Gabor filtration properties in order to find such appropriate features. The article presents...
Yang, Yu-Qian, Zhang, Jiang-She, Huang, Xing-Fang (2010)
Mathematical Problems in Engineering
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Juan Wang, Hehong Zhang, Yuanlong Yu, Zhihong Dan, Gaoxi Xiao, Qiuming Gu, Chao Zhai (2022)
Kybernetika
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To tackle the difficulty in tuning the parameters of sliding mode differentiator (SMD), an improved adaptive notch filter based real-time parameter tuning scheme (denoted as ANF-SMD) is presented. Specifically, the integral feedback of the system output errors is introduced in constructing the cost function for the adaptive notch filter so as to estimate the real-time amplitude and frequency of given inputs. Then, upon the deterministic formula between the parameters of the SMD and the...
Sławomir Skoneczny (2005)
International Journal of Applied Mathematics and Computer Science
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Old movies suffer from various types of degradation: severe noise, blurred edges of objects (low contrast), scratches, spots, etc. Finding an efficient denoising method is one of the most important and one of the oldest problems in image sequence processing. The crucial thing in image sequences is motion. If the motion is insignificant, then any motion noncompensated method of filtering can be applied. However, if the noise is significant, then this approach gives most often unsatisfactory...