Digital Image Processing

The importance of embedded applications on video and image processing, communication and cryptography domain has been taking a larger space in current research area. Improvement of pictorial information for betterment of human perception like deploring, de-noising in several fields such as satellite imaging, medical imaging etc are renewed research thrust. Specifically we would like to elaborate our experience on the significance of computer vision as one of the domains where hardware implemented algorithms perform far better than those implemented through software. So far embedded design engineers have implemented their design by means of Application Specific Integrated Circuits ASICs and Digital Signal Processors (DSP), however with the advancement of VLSI technology a powerful hardware device namely the Field Programmable Gate Array FPGA combining the advantages of ASICs and DSPs was developed which have the possibility of re-programming making them a very attractive device for rapid prototyping. Communication of image and video data in multiple FPGA is no longer far away from the thrust of secured transmission among them, and then the relevance of cryptography is indeed unavoidable. This paper shows how the Xilinx hardware development platform as well Mathworks Matlab can be used to develop hardware based computer vision algorithms and its corresponding crypto transmission channel between multiple FPGA platform from a system level approach, making it favorable for developing a hardware-software co-design environment. Digital Image Processing (DIP) is the process of digital images using numerous computer algorithms. This digital image processing DIP has been employed in numerous areas such as pattern recognition, remote sensing, image-sharpening, color and video processing and medical.