3D-generalization of impulse noise removal method for video data processing
نویسندگان
چکیده
منابع مشابه
Comparative Study of High Density Impulse Noise Removal Method
Abstract— This Paper Presents Comparative Study of High Density Impulse Noise Removal method. Impulse noise is interference information pixels which result the black and white dots are spread distributed on the image. This type of noise can be caused by analog-to-digital converter errors, bit errors in transmission. Modified Mean-Median & ROM (MMM&R) filter that used to reduce impulse noise. Me...
متن کاملOntological Intelligent Agent for Impulse Noise Removal
This paper presents an ontological intelligent agent to remove impulse noise from highly corrupted images. It contains an image noise ontology to represent the image noise knowledge for the agent, a fuzzy inference mechanism for noise detection and removal, and an intelligent learning process for automatically generating the fuzzy numbers of the agent. The working environment for the intelligen...
متن کاملParallel Fuzzy Filter for Impulse Noise Removal
A parallel algorithm for reducing impulse noise from color images is proposed. The algorithm is based on a fuzzy metric and is performed in two steps followed by noise filtering using the vector median filter. An implementation of the algorithm on multi-core interface using the Open MultiProcessing (OpenMP) is presented. A performance analysis with large images is conducted. Performance is eval...
متن کاملA Novel Iterative and Adaptive Noise Detection Method for Removal of Impulse Noise
In this paper, the authors propose an efficient technique called Iterative and Adaptive Noise Detection Method (IANDM) for detecting the corrupted pixel in the image and for estimating the original value of the corrupted pixel. With the proposed method the noise pixel detection is improved by giving important to both the local and the global features. The proposed AMPMAD algorithm has a highest...
متن کاملRemoval of Impulse Noise by Selective Filtering
In this paper we present a novel structure for removal of impulse noise which is based on a combination of impulse detection and nonlinear ltering. The impulse detector is realized as a neural network which will be shown to possess a very simple structure. This means that, compared to traditional approaches, a signiicant gain in performance can be achieved with considerably smaller complexity. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Optics
سال: 2020
ISSN: 2412-6179,0134-2452
DOI: 10.18287/2412-6179-co-577