(DOI: 10.5815/ijigsp.2018.11.05), we proposed within this paper a real-time implementation of the compression algorithm on embedded boards.

This paper presents the implementation of image compression operations on low cost embedded systems (Raspberry Pi 3, Arduino Uno R3). Image compression is a part of image processing and is used to reduce the quantity of data to store. The synchronization between hardware and software leads to an efficient architecture that can achieve the real time processing.ĭigital image processing is the use of computer algorithms to improve image quality, to extract or add information. This work mixing between hardware (Raspberry Pi device) and the software compression algorithm to reach acceptable low cost and high speed operated system. Compensating between hardware and software is very important to achieve an efficient implemented system. 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. 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.

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. Real time processing does not realized on standalone computer, so it need special hardware.

Real time processing of image deals with applying all required operations within a range of time not exceed the acceptable time of human eyes.

Realtime image compression software