Image inpainting has been widely used in practice to repair damaged/missing pixels of given images. Most of the existing inpainting techniques require knowing beforehand where those damaged pixels are, either given as a priori or detected by some pre-processing. However, in certain applications, such information neither is available nor can be reliably pre-detected, e.g. removing random-valued ...

Although background noise cancellation for speech or electrocardiographic recording is well established, however when the background noise contains vocal noises and the main signal is a breath sound, the problem becomes challenging as the signal and noise are no longer uncorrelated. In this paper, a technique for detecting the vocal noise within a breath sound and then removing it without hampe...

Magnetic Resonance Imaging is the best technique used in medical fields for diagnosis of brain tumors at advanced stages. Removing noise from the original MRI is still a challenging problem for researchers. Various approaches are designed and followed for Denoising. A new signal-preserving technique for noise suppression in event-related magnetic resonance imaging (MRI) data is proposed based o...

This paper presents a new two-stage approach to impulse noise removal for medical images based on wavelet network (WN). The first step is noise detection, in which the so-called gray-level difference and average background difference are considered as the inputs of a WN. Wavelet Network is used as a preprocessing for the second stage. The second step is removing impulse noise with a median filt...

Through analysis of PCNN’s work principle, a noval filtering approach capable of detecting and removing impulsive noise in multi-channel images. The filter detects noise pixels in the image by utilizing PCNN’s specific feature that the fire of one neuron can capture firing of its adjacent neurons due to their spatial proximity and intensity similarity. Then it estimates the noise pixels by a VM...

This paper presents a novel perceptually based method for noise reduction of image signals characterized by low signal to noise ratios. The proposed method exploits the local phase characteristics of an image signal to perform bilateral filtering in an adaptive manner. The proposed method takes advantage of the human perception system to preserve perceptually significant signal detail while sup...

This paper investigates the problem of image restoration when the image is corrupted by Pepper-and-salt noise and proposes a new restoration algorithm based on quadtree data structures. The crucial parts of the algorithm are picking noise and fuzzy estimation, so that unlike some other usual denoising methods, it avoids blurring and averaging edges and non-noise pixels. This paper describes, an...

Geoaesthetics is the project of making aesthetic sense of nature through geological phenomena. The aesthetic appreciation of nature has recently become urgent because of the serious influence of the natural environment on human beings. The author’s geoaesthetical research is categorized into three problems: art in geology or geology in the arts as the close relationship between art and geology,...

Removing mixed noise from digital images is a challenging problem as it involves processing of various types of noise. Additionally, noises should be differentiated from inherent image structures. Fuzzy logic is a successful solution in this situation. In this paper, we propose a novel fuzzy technique to reduce mixed ImpulseGaussian noise from color images. A weighted averaging process is used ...