In: Computer Science
Explain the trade-offs, particularly for throughput (performance), involved in preparing an image, video, or 3D image processing task for parallel processing ?
Trade-offs, particularly for throughout and preparing an image all are explain below:-
Visual perception or better Vision processing gives rise to a great deal of computational problems which usually have many special properties that , in some cases make difficult the use of general purpose processors(computers). that's probably one of the main reasons why image processing hardware and robotic vision have received particular attention during the last decade.
In this paper we would like to review some of hardware-software approaches which have been developed during the last year.mostly for what is called low level Vision.
A question arises when we think about the hardware-software trade-off needed to solve this sort of vision processing task.
Keywords:
Array processor
Machine vision system
Robot Vision
Array processing element
pipeline processor
3D image processing task for parallel processing:-
To find accurate & reliable result in image analysis, it is important that image is processed and analyzed using image processing suitable all technique further at the same time it is highly desired that processing time must be minimum.preprocessing of the image makes it more clear and visible,while paralyzing of the algorithm optimizes the speed at which the image is processed.
Parallel implementation of many sequential algorithms of image processing was examined and analyzed in test and achieved good result if all the resources are efficiently used.main objective of this paper is to design some parallel image processing algorithm like segmentation, noise reduction, features calculation, histogram,equalization etc by using multi core architecture and comparative study with sequential image processing algorithm.
In this diagram the basic flow of image processing are mentioned step by step.