Review on Image Processing: FPGA Implementation perspective
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2014, Vol 2, Issue 1
Abstract
Digital image processing (DIP) is an ever growing area with a variety of applications including medicine, video surveillance, and many more. In order to improve the performance of DIP systems image processing algorithms are implemented in hardware instead of software. The idea here is mainly to obtain a system faster than software image processing. Image processing tasks such as filtering, stereo correspondence and feature detection are inherently highly parallelizable. Thus FPGAs (Field Programmable Gate Arrays) can be a useful approach in the area of Digital Signal Processing. FPGAs provide advantage of the parallelism, low cost, and low power consumption. They are semiconductor devices that contain a number of logic blocks, which can be programmed to perform anything from basic digital gate level techniques, to complex image processing algorithms. This paper provides an overview of the various works that demonstrate the benefits of using FPGAs to implement image processing algorithms like median filter, morphological, convolution, smoothing operation and edge detection, etc. Gray-level images are very common in image processing. These types of images use eight bits to code each pixel value, which results in 256 different possible shades of grey, ranging from 0 (black value) to 255 (white value). Latest generations FPGAs compute more than 160 billion multiplication and accumulation (MAC) operations per second.
Authors and Affiliations
Mohassin Ahmad, Abdul Gaffar Mir, Najeeb-ud-din Hakim
Keywords
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