Image processingImage processing is any form of signal processing for which the input is an image, such as a photograph or video image, the output of the processing is The image can be either an image or a set of characteristics or parameters related to the image. Most image processing techniques involve treating the image as a two-dimensional signal and applying standard signal processing techniques to it. Image processing generally refers to digital image processing, but optical and analog image processing are also possible. Image acquisition (which first produces the input image) is called imaging. Image processing refers to the processing of an image by a computer. An image defined in the "real world" is considered to be a function of two real variables, for example, a (x, y) with a as the amplitude (e.g., brightness) of the image at the position of the real coordinates (x, y).Most often, image processing systems require the image to be available in digitized form, i.e. finite length binary word arrays for digestion, the given image is sampled on a discrete grid and each sample or pixel is quantized using finite terms. number of bits. The scanned image is processed by a computer. To display a digital image, it is first converted into an analog signal which is digitized on a screen. Before processing an image, it is converted into digital form. Digitization involves sampling the image and quantifying the sampled values. After converting the image into binary information, processing is carried out. This processing technique can be image enhancement, image restoration and image compression. Image enhancement: It refers to the sharpening or sharpening of image features such as boundaries or contrast with....... middle of paper..... Processes at the level images involve tasks such as segmentation (partitioning an image into regions or objects), describing these objects to reduce them to a form suitable for computer processing, and classifying (recognition) of individual objects. A mid-level process is characterized by the fact that its inputs are typically images, but its outputs are attributes extracted from those images (e.g., edges, contours, and identity of individual objects). Finally, high-level processing involves "making sense" of a set of recognized objects, as in image analysis, and, at the far end of the continuum, performing the cognitive functions normally associated with processing. human vision. In particular, digital image processing is the only practical technology for:• Classification• Feature extraction• Pattern recognition• Projection• Multi-scale signal analysis