Image and video compression in remote sensing systems

• Grant number: 10/11695-1
• Support Opportunities: Regular Research Grants
• Start date: January 01, 2011
• End date: December 31, 2012
• Field of knowledge: Engineering - Electrical Engineering - Telecommunications
• Principal Investigator: Marcelo da Silva Pinho
• Grantee: Marcelo da Silva Pinho
• Host Institution: Divisão de Engenharia Eletrônica (IEE). Instituto Tecnológico de Aeronáutica (ITA). Ministério da Defesa (Brasil). São José dos Campos , SP, Brazil

Abstract

The problem of image and video compression has been studied for more than 2 decades. There are several solutions for this problem, leading to different algorithms. Some examples of very popular image compressors are the JPEG, the JPEG2000 and the Set Partition In Hierarchical Tree (SPIHT) encoder. In the case of video compression, the standards MPEG-2 and H.264 are two methods which have been used in some video transmissions. In the area of remote sensing, there are many examples of systems which were designed to send image or video signal over a communication channel. However, in general, these systems have two different characteristics of a typical communication system for image or video. The first difference is related to the transmitter complexity. Usually, systems designed to transmit image or video are broadcast systems which have one transmitter and many receivers. In this case, it is very important to have a simple receiver system but the transmitter can be extremely complex. Therefore, it is very common to have a compressor with a high complexity encoder and a low complexity decoder. Unfortunately, in many remote sensing systems the transmitter must be a low complexity device. The second difference between those communication systems is related to the kind of image or video which must be transmitted. In a typical system, in general, the signal is a color image or video. However, in a remote sensing system, it is usual to transmit image or video captured in different spectrum bands. For example, it can be mentioned systems which works with multispectral images, infrared images and images from radar. The aim of this project is to study the problem of image and video compression for different remote sensing systems. New algorithms with low complexity encoder and for different kinds of images and videos will be proposed. These algorithms will be implemented in software and tested with signals captured by different remote sensing systems. (AU)