Real time image processing seminar report, abstract.

Image processing is any form of signal processing for which the input is an image, such as a photograph or video frame, the output of image processing may 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. The multidisciplinary field of real-time image processing has experienced a an explosion over the past several years. The purpose of real-time image processing is to improve the motion picture quality by removing the disturbance inside the series. It is designed to provide recommendations and help link the gap between the concept and the practice of picture and movie handling by providing a wide summary of proven algorithmic, components, application programs and strategies. RTIP includes many factors of application and components in order to achieve great definition feedback, low latency catch, powerful handling, and efficient display.

An image may be considered to contain sub-images sometimes referred to as regions-of-interest, ROIs, or simply regions. This concept reflects the fact that images frequently contain collections of objects each of which can be the basis for a region. In a sophisticated image processing system it should be possible to apply specific image processing operations to selected regions. Thus one part of an image (region) might be processed to suppress motion blur while another part might be processed to improve color rendition.

Related seminar topics: Secure ATM by Image Processing


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