Digital Image Processing

Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over traditional analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as aliasing, which can occur when an analog image is converted to digital form. Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic compression methods, such as the discrete cosine transform and adaptive Huffman coding.