ABSTRACT
Image preprocessing may have beneficial effects on the excellence of feature extraction and the outcomes of image analysis. Image enhancement is mostly refining the sensitivity of information in images for an improved input for automated image processing methods. Image restoration is not the same as image enhancement, as the latter one is used to highlight features of the image used to make it more attractive to the viewer, but it is not essential in obtaining representative data from a scientific point of view. Image compression can be described as the procedure of encoding data using a method that decreases the overall size of the image. Compression methods can be classified into two categories: lossy compression and lossless compression. In applications where the image quality is the ultimate requirement, lossless compression is used—such as in medical applications in which no degradation on the original image data are permitted owing to the accuracy requirements for diagnosis.
