Review and evaluation of filtering in the optimization of medical images

The equipments with which we capture images are often influenced by measurement noise; therefore, the resulting images may not provide the quality needed for desired analysis. In addition, even for images with acceptable quality, it is often the case that certain regions, features, or components of the image need to be emphasized and highlighted. As an example, when processing medical images, it is often the case that highlighting certain parts of the image such as tumor-like regions would help physicians make a better diagnosis. In this Article, the main computational techniques commonly used in image processing to restore and enhance images are discussed. Image restoration and enhancement techniques can be regarded as computational algorithms that receive an image as their input and generate an enhanced or restored version of this image as their output.