As a relatively advanced method, the subspace clustering algorithm by block diagonal representation (BDR) will be competent in performing on dataset if is assumed to noise-free and drawn from union of independent linear subspaces. Unfortunately, this assumption far reality, since real data are usually corrupted various noises subspaces overlap with each other, performance algorithms, including ...

Fluorescence microscopy is a key driver to promote discoveries of biomedical research. However, with the limitation microscope hardware and characteristics observed samples, fluorescence images are susceptible noise. Recently, few self-supervised deep learning (DL) denoising methods have been proposed. training efficiency performance existing relatively low in real scene noise removal. To addre...

Many problems can reduce handwritten character recognition performance, such as image degradation, light conditions, low-resolution images, and even the quality of capture devices. However, in this research, we have focused on noise images that could decrease accuracy recognition. types penalties influence for example, low resolution, Gaussian noise, contrast, blur. First, research proposes a m...

Optical Flow estimation in noisy image sequences requires a special denoising strategy. Towards this end we introduce a new tensor-driven anisotropic diffusion scheme which is designed to enhance optical-flow-like spatiotemporal structures. This is achieved by selecting diffusivities in a special manner depending on the eigenvalues of the well known structure tensor. We illustrate how the propo...

A recent extension of DNA microarray technology has been its use in DNA fingerprinting. Our research involved developing an algorithm that automatically analyzes microarray images by extracting useful information while ignoring the large amounts of noise. Our data set consisted of slides generated from DNA strands of 24 different cultures of anthrax from isolated locations (all the same strain ...

A modified algorithm for segmenting microtomography images is given in this work. The main use of the approach is in visualizing structures and calculating statistical object values. The algorithm uses localized edges to initialise snakes for each object separately then moves curves within the images with the help of gradient vector flow (GVF). This leads to object boundary detection and obtain...

Numerous sophisticated techniques have been developed over the last several decades to eeciently transmit images across noisy channels. Here, we cascade an existing image coder with carefully chosen error control coding, and thus produce a progressive image compression scheme whose performance on a noisy channel is signiicantly better than that of previously known image compression techniques. ...

This correspondence addresses the recovery of an image from its multiple noisy copies. The standard method is to compute the weighted average of these copies. Since the wavelet thresholding technique has been shown to effectively denoise a single noisy copy, we consider in this paper combining the two operations of averaging and thresholding. Because thresholding is a nonlinear technique, avera...