Corrupted Image and video signals due to impulse noise during the process of signal acquisition and transmission can be corrected. In this paper the effective removal of impulse noise using EODT with pipelined architecture and its VLSI implementation is presented. Proposed technique uses the denoising techniques such as Edge oriented Denoising technique (EODT) which uses 7 stage pipelined ADC f...

This paper proposes a new image statistic for detecting random-valued impulse noise. Combining it with detail-preserving regularization, we obtain a powerful two-phase method for denoising even for noise level as high as 60%. Simulation results show that our method is significantly better than a number of existing techniques in terms of image restoration and noise detection.

This paper is concerned with algebraic features based filtering technique, named as the adaptive statistical quality based filtering technique (ASQFT), is presented for removal of Impulse and Gaussian noise in corrupted colour images. A combination of these two filters also helps in eliminating a mixture of these two noises. One strong filtering step that should remove all noise at once would i...

An effective algorithm for automatic removal impulse noise from highly corrupted monochromatic images is proposed. The method consists of two steps. Outliers are first detected using local spatial relationships between image pixels. Then the detected noise pixels are replaced with the output of a rank-order filter over a local spatially connected area excluding the outliers, while noise-free pi...

Impulsive noise appears as a sprinkle of dark and bright spots. Linear filters fail to suppress impulsive noise. Thus, non-linear filters have been proposed. The median filter works on all image pixels and thus destroys fine details. Alternatively, the peak-and-valley filter identifies noisy pixels and then replaces their values with the minimum or maximum value of their neighbors depending on ...

Median filter is quite effective in recovering the images confounded by salt and pepper noise. It discards outliers (impulses) effectively, but it fails to provide adequate smoothing for images corrupted with non-impulse noise. In this paper, two nonlinear techniques for image filtering, namely, New Filter I and New Filter II are proposed based on a nonlinear high-pass filter algorithm. New Fil...

Noise filtering is the fundamental pre-processing step for digital images. In this paper we present a novel method in which the uncertainties of fuzzy membership function is modeled to reduce and the concept of this reduced uncertainties is used to detect the impulse corrupted pixels of digital images. Taking an interval instead of using a crisp value of membership function deals better with th...

This paper presents a method for automatic removal of local defects such as blotches and impulse noise in old motion picture films. The method is fully automatic and includes the following steps: fuzzy prefiltering, motioncompensated blotch detection, and spatiotemporal inpainting. The fuzzy prefilter removes small defective areas such as impulse noise. Modified bidirectional motion estimation ...