This paper presents advantages of employing the wavelet method in X-ray high-resolution image analysis of nanostructures. It is shown that many more details of the structure examined can be distinguished in rocking curves (RC) as well as in reciprocal space maps (RSM) after application of the numerical procedure. The method proposed seems to be particularly suitable for imperfect epitaxial laye...

This paper presents a robust de-noising model for image enhancement using adaptive median filtering. In this approach image noise is detected with a standard median filter using an adaptive window. Within the window, the original value of the center pixel is changed to a newer that is closer to or same as the standard median. A comparison has been arranged among the proposed method, the standar...

We explore the geometry of l1 sparse representations in both the noiseless (Basis Pursuit) and noisy (Basis Pursuit De-Noising) case using a homotopy method. We will see that the concept of the basis vertex c, which has unit inner product with active basis vectors, is a useful geometric concept, both for visualization and for algorithm construction. We derive an explicit homotopy continuation a...

In the field of nuclear magnetic resonance imaging, diffusion tensor imaging (DTI) has proven an important method for the characterisation of ultrastructural tissue properties. Yet various technical and biological sources of signal uncertainty may prolong into variables derived from diffusion weighted images and thus compromise data validity and reliability. To gain an objective quality rating ...

Sukhdev Singh Assistant Professor Multani Mal Modi College, Patiala [email protected] ABSTRACT These days the concept of denoising is not restricted to the field of photography or publication where image needs to be improved for printing purpose. It is quite useful tool in number of digital image processing application such as space exploration where noise can be introduced due to artifacts gen...

This article presents a new scheme for movie de-scratching, de-noising and de-blotching based on wave atom transform and nonparametric model. According to the analysis of the noise, scratches and blotches in the film, we establish a hybrid model for movie signal. In the proposed model, we model scratch as directional additive noise, which can be represented effectively by a new multi-scale anal...

We apply a probabilistic method for learning efficient image codes to the problem of unsupervised classification, segmentation and de-noising of images. The method is based on the Independent Component Analysis (ICA) mixture model proposed for unsupervised classification and automatic context switching in blind source separation [I]. In this paper, we demonstrate that this algorithm is effectiv...

In traditional denoising techniques, filters and Short time Fourier transform are not so good for speech signal denoising. Wavelet thresholding de-noising techniques provide a new way to reduce background noise in speech signal. However, the soft thresholding is best in reducing noise but worst in preserving edges, and hard thresholding is best in preserving edges but worst in de-noising. In th...

During machining processes, accurate prediction of cutting tool wear is prominent to prevent ineffective utilisation and significant resource waste. Tool conditions progression involve complex physical mechanisms, a promising approach deploy heterogeneous sensors design deep learning algorithm conduct real-time monitoring precious prediction. To tackle the challenge algorithms in processing sig...