REMOVAL OF VARIOUS NOISES FROM DIGITAL IMAGES WITH THE APPLICATION OF A SINGLE ALGORITHM

In general, digital images captured by various electronic devices suffer as result of various noise which may be the result of different sources. Noise can be caused by sensors, atmospheric conditions, internal circuits, and so on. As result of the presence of various types of noise, we have degradation of the image. Today, there are different methods and filters that apply to the removal of specific noise that may have corrupted the image. In this paper, we will present a successful algorithm that enables the restoration of corrupt image pixels simultaneously from various types of noises. The working principle of this algorithm is based on that initially, the image is simultaneously corrupted by different types of noise. After the corruption, the algorithm makes the identification and isolation of corrupt image pixels as well as their restoration. This algorithm enables the restoration of corrupted pixels from whatever kind of noise and which may be the result of whatever source.