Scientific advances in algorithm development, coupled with technological advances in devices and systems, have resulted in a wide range of imaging applications for science, industry, and government. Other uses for image processing include remote sensing, robot vision, industrial inspection, automation systems, electronic publishing, and optical character recognition. Image Processing Activities Major research activities within the image processing field include image coding, compression, restoration, and enhancement. Compression of coded visual data is used in order to remove redundant information, and to represent the image in a minimal number of code bits. This permits more efficient and economic use of storage space and channel capacity or bandwidth.
Quantitative approaches are then u sed to measure and remove the degradation .
Consequently, image restoration focuses on the selective emphasis and suppression of various elements within a picture. The image in question can also be improved or enhanced to a more useable or subjectiv ely pleasing form. When a signal's -spectrum is divided in a large number of subband components, the result should took like a real moving image, not like a noise pattern. This requirement places important statistical limits on a signal. The result is that most subbands are empty most of the time, thus their elimination does not result in a loss of image quality.