Shading correction of image sensors is a very important operation in visual inspection applications. The generation and application of shading correction with and without imaging system response linearization is discussed and demonstrated. The linearization is achieved by subtracting the dark current image and by applying a lookup table operation. The content of the lookup table is obtained by fitting an analytical function to the measured system response. The linearization enables the shading correction to be a linear operation. The quality of the linearization and the shading correction was evaluated using statistical parameters of the processed images. The results showed a substantial decrease in the standard deviation of the gray level distribution of uniform reference images.

This paper presents a multiprocessor system architecture and the scheduling policies of the processors which can off-load a host computer in the image processing of office documents. The objective of this system is to provide extensive image processing capabilities at minimum cost and with an acceptable interactive response time. Multiprocessor system architecture, image partitioning strategies, image processing algorithm characteristics, performance modeling, and processor scheduling policies are investigated. A prototype multiprocessor image processing system has been built at the IBM San Jose Research Laboratory.