Image Processing

Image Processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. Nowadays, image processing is among rapidly growing technologies. It forms core research area within engineering and computer science disciplines too. Image processing basically includes the following three steps: Importing the image via image acquisition tools; Analysing and manipulating the image; Output in which result can be altered image or report that is based on image analysis.

Applications of image processing are vast and varied, including medical imaging (MRI, CT scans), satellite imagery analysis, remote sensing, object detection and recognition in surveillance systems, facial recognition, industrial automation for quality control, and enhancing images for artistic or consumer purposes. Techniques involve filtering, segmentation, feature extraction, image restoration, and compression. With the rise of Machine Learning and Deep Learning, particularly Convolutional Neural Networks (CNNs), image processing capabilities have advanced significantly, enabling more complex tasks like image generation and real-time analysis.