The article presents a method for estimating the level of discrete white noise in an image, based on use linear difference operators with vector mask. Two variants new are proposed, which differ accuracy obtained estimates and computational complexity. first version can be attributed to class block methods, whereas second one is intended rapid image analysis processing small number rows or colu...

Digital images are prone to a variety of types of noise. Noise is the result of errors in the image acquisition process that result in pixel values that do not reflect the true intensities of the real scene (Gagnon & Smaili, 1996). There are several ways that noise can be introduced into an image, depending on how the image is created. For example if the image is scanned from a photograph made ...

Denoising an image is the important task in an image processing. Images are noised during the capture and transmission. Image enhancement is the main and primary step in image processing concept. It is used to develop the quality and brightness of an image. Generally fundus images are picked up from various locations, using different cameras. This results in a range of images with diverse quali...

Introduction Breast cancer is one of the most common types of cancer among women.  Early detection of breast cancer is the key to reducing the associated mortality rate. The presence of microcalcifications clusters (MCCs) is one of the earliest signs of breast cancer. Due to poor imaging contrast of mammograms and noise contamination, radiologists may overlook some diagnostic signs, specially t...

Introduction: Non-uniformity test is essentially the only required daily QC procedure in nuclear medicine practice. Noise creates statistical variation or random error in a flood image. Non-uniformity on the other hand does not have statistical nature and may be regarded as systemic error. The present methods of non-uniformity calculation do not distinguish between these two types of erro...