Hardware Implementation of a Real Time Image Compression

Abstract

Real time processing of image deals with applying all required operations within a range of time not exceed the acceptable time of human eyes. Real time processing does not realized on standalone computer, so it need special hardware. The big challenge of image processing work is the processing time, in which there are big amount of data (pixels) that must be processed at a specific time. The most important objective aspect of this work and any image processing algorithm (software or hardware) is how to implement it in an efficient way via the effective management of the scheduling of the processing jobs and time allocated for each job. This work try to avoid this problem by inserting a Raspberry Pi device which is working as microcomputer and has the ability to work with image, video, audio and data. Compensating between hardware and software is very important to achieve an efficient implemented system. This work mixing between hardware (Raspberry Pi device) and the software compression algorithm to reach acceptable low cost and high speed operated system. The synchronization between hardware and software leads to an efficient architecture that can achieve the real time processing.