Impulse noise

About: Impulse noise is a research topic. Over the lifetime, 4816 publications have been published within this topic receiving 63970 citations.

Minimization of detail-preserving regularization functional by Newton's method with continuation

Abstract: Recently, a two-phase scheme for removing salt-and-pepper impulse noise has been proposed [R.H. Chan et al], In the first phase, an adaptive median filter is used to identify pixels which are likely to be contaminated by noise (noise candidates). In the second phase, the image is restored by minimizing a specialized regularization functional that applies only to those selected noise candidates. As an extension of this work, we propose an efficient method to accomplish the second phase. The speed of our method can be double as that of the method proposed in [R.H. Chan et al] for images contaminated by 30% salt-and-pepper noise and is faster for higher noise level.

A New Unified Impulse Noise Removal Algorithm Using a New Reference Sequence-to-Sequence Similarity Detector

Abstract: Existing detectors are based on using the similarity of pixels or blocks to locate noisy pixels. Alternatively, this paper presents an approach that investigates the similarity property among sequences of pixels to establish a new reference sequence-to-sequence similarity (RSSS) impulse noise detector. Then, to harness the advantages of this new RSSS detector in high detection accuracy, a new unified image denoising algorithm (RSSS-I) is introduced to remove different types of impulse noise. In this approach, the RSSS detector locates the impulse noise, and then, three different median filters remove the detected impulse noise in a cascade framework. In this framework, an existing weighted median filter is utilized as the domain filter, and two new directional mean and “extreme” median filters are applied as the post-filter. Experimental results show the benefits of this cascade framework in improving the performance. Comparison results demonstrate that the RSSS-I outperforms several existing methods for the ability to accurately locate the positions of noise, retain edge information, inhibit residual artifacts from occurring, and generating denoised images with better quality.

Orthogonal frequency division multiplexing receiver capable of canceling impulse interference

Abstract: An orthogonal frequency-division multiplexing (OFDM) receiver that has a capability for canceling impulse interference is introduced in the present invention. The OFDM receiver includes an impulse noise remover for receiving incoming signals and canceling the impulse interference and a demodulator to demodulate the incoming signals. The impulse noise remover includes an analog-to-digital converter (ADC) that converts the incoming signals into multiple signal points, a delay line for temporarily storing the signal points, a signal processor for calculating a summation of a number of the signals points, a thresholder for checking if an input level provided by the signal processor according to the summation is greater than a predetermined threshold and a switch for replacing values of the signal points influenced by the impulse interference by zeros if the input level is greater than the predetermined threshold.

Impulse noise reduction system for TV receivers

Abstract: A television receiver having circuitry for reducing the effects of impulse noise in the video signal is controlled by impulse noise detection circuitry responsive to the accompanying sound signal. Since impulse noise is relatively broadband it will occur simultaneously in both the broadcast picture and accompanying sound signals. Amplitude variations of the frequency modulated sound signal are indicative of the presence of noise, which variations are detected and utilized to generate a control signal whenever the noise amplitude exceeds a predetermined threshold.