During image transmission and acquisition, the impulse noise is corrupted in the field of digital image processing applications of transmission and reception due to unwanted disturbance. The proposed cloud noise filtering algorithm and VLSI architecture is used to remove the impulse noise is better than...
image filteringimage restorationimpulse noiseinterpolationRestoring pixel intensities corrupted by impulse noise has a great impact on the quality of decision-based filters. In this study, the authors' focus is on intensity restoration of noisy pixels. Their assumption is that noisy pixels are already ...
Image restoration is an important task in image processing. The general idea is to estimate an ideal image u from the observed noisy image f. In this paper, we restrict our attention to a mixed noise removal task. There are some different types of mixed noise models commonly considered in ...
Image fusionEmpirical Mode DecompositionImpulse NoiseImage ProcessingIJCSIThis paper introduces the concept of image fusion technique for impulse noise reduction in digital images. Image fusion is the process of combining two or more images into a single image while retaining the important features of ...
Removing impulse noise from images is a critical issue in image processing because it may occur frequently during acquisition or transmission of images. We propose an anfis based impulse denoising algorithm to preserve the intrinsic geometric details of an image. The main target of this project is ...
As an extension of two-dimensional complex numbers to four dimensions, the quaternion theory has been applied in color image processing [30], [31], [32]. In [33], [34], [35], three quaternion-based switching filters are introduced for impulse noise reduction. In conclusion, various ...
Fuzzy set theory, comparing with some other theories, can provide us with knowledge-based and robust tools for image processing. By computing the fuzziness of the pixels'corrupted degree and taking corresponding filter parameters, a new image filter for impulse noise is presented in this paper. ...
In the field of medical image processing, digital images very often get corrupted by several kinds of noise during the process of image acquisition. In this paper, we will present a new method for removal of impulse noise and enhancing magnetic resonance (MR) images quality. The method is ...
In such applications, the image sources are low-cost sensors that introduce impulse noises in the images making it unreliable for any computer vision algorithms running on the cloud. Though many powerful impulse noise removal techniques present in literature, their computational complexities are much ...
;Gray scale;High noise levels;High quality;Local regularization;Reconstruction quality;State-of-the-art algorithms;Total variation;Total variation regularization;Vector-valued images;Acoustic noise;Algorithms;Gaussian distribution;Gaussian noise (electronic);Image reconstruction;Signal processing;Impulse noise;...