Application of partition-based median type filters for suppressing noise in images

An adaptive median based filter is proposed for removing noise from images. Specifically, the observed sample vector at each pixel location is classified into one of M mutually exclusive partitions, each of which has a particular filtering operation. The observation signal space is partitioned based...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on image processing Ročník 10; číslo 6; s. 829 - 836
Hlavní autori:	Chen, Tao, Wu, Hong Ren
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.06.2001 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive filters Applied sciences Computer science Detection, estimation, filtering, equalization, prediction Exact sciences and technology Filtering Gaussian noise Image processing Impulses Information, signal and communications theory Least squares approximation Mathematical analysis Noise Noise robustness Nonlinear filters Pixels Position (location) Retarding Signal and communications theory Signal processing Signal, noise Software engineering Statistics Studies Telecommunications and information theory Vectors Vectors (mathematics) Performance evaluation Partition method Simulation Image processing Noise reduction Adaptive filter Median filter Optimization Non linear filtering Least mean squares methods
ISSN:	1057-7149, 1941-0042
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!