Digital Image Processing Essay

Digital image processing is the exercise of computer algorithms to perform image processing on digital images, as a subcategory or field of digital signal processing. Digital image processing has various advantages over analog image processing. It permits a much spacious range of algorithms to be applied to the input data and can be avoid problems such as the build-up of noise and signal distortion during processing. Since images are defined over multi dimensions digital image processing may be modeled in the form of multidimensional systems (Digital Image Processing).
First of all it should be known that what is digital image? A digital image is a representation of a two-dimensional image as a finite set of digital values, called picture elements or pixels, where Pixel values typically represent gray levels, colors, heights, opacities etc. Digitization implies that a digital image is an approximation of a real scene. History of Digital image processing consist that it was developed in the 1960’s at the Jet Propulsion Laboratory, Bell Laboratories, University of Maryland, and a few research facilities, with application to satellite imagery, wire photo standards conversion, medical imaging, videophone, character recognition, and photograph enhancement (Rosenfeld Azriel.et al., 1969).

Under normal condition, one will not experience any net magnetic field from the volume since the magnetic dipole moments are oriented randomly and on standard equalize one another. When placed in a magnetic field, a proton with its magnetic dipole moment processes around the field axis. The frequency of this precession, v0, is the resonant frequency and is called the Larmor frequency. The precession frequency is directly proportional to the strength of the magnetic field, i.e. v0 =