The color constancy is a procedure that measures the influence of different light sources on a digital image. The goal of the computational color constancy is to account for the effect of the illuminate.Many traditional methods such as Grey-world method, Max RGB and learning-based method were used to measure the color constancy of digital images affected by light source. All these methods have ...

In this paper we study the impact of denoising the raw high angular resolution diffusion imaging (HARDI) data with the Non-Local Means filter adapted to Rician noise (NLMr). We first show that NLMr filtering improves robustness of apparent diffusion coefficient (ADC) and orientation distribution function (ODF) reconstructions from synthetic HARDI datasets. Our results suggest that the NLMr filt...

Introduction: Myocardial T2* measurement is a valuable tool for non-invasive assessment of tissue iron overload which can prevent disease in thalassemia patients (1). For the heavily iron loaded heart, T2* is substantially shortened (<10ms) and the signal to noise ratios (SNRs) of later echo images are usually very low (2). Various signal processing techniques have been proposed for denoising M...

Removing as much noise possible in an image while preserving its fine details is a complex and challenging task. We propose wavelet-based non-local means (NLM) denoising method to overcome the problem. Two well-known wavelets: dual-tree wavelet transform (DT-CWT) discrete (DWT), have been used change into several coefficients sequentially. NLM filtering universal hard thresholding with cycle sp...

One of the key issues in removing random-valued impulse noise from digital images using switching filters is the impulse noise detection. Impulse noise is a random, spiked variation in the brightness of the image. In this paper, a new impulse noise detection algorithm is presented that is based on Noise ratio Estimation and a combination of K-means clustering and Non-Local Means based filter (N...