JPEG2000 Image Compression and Error Resilience For Transmission Over Wireless Channels

This thesis examines the compression performance of the JPEG2000 standard for image transmission over noisy channels. Other features of the standard, such as error resilience and region of interest, have been studied and their effectiveness tested on several images. The JPEG2000 still image compression standard has provided higher compressions performance with lower distortion and better image quality than JPEG. JPEG2000 has the capability to define regions of interest of any shape and size and code the selected regions with a higher fidelity than the rest of the image. Compressed image data is transmitted over a noisy wireless channel based on Gilbert-Eliot model, which simulates both isolated and burst errors. JPEG2000 error resilient tools are used to allow the decoder to detect and conceal errors introduced in the channel. The results indicate up to 10 dB improvement in the peak signal to noise ratio when these tools are used