Current image communication applications involve image transmission over noisy channels, where the image gets damaged. The loss of synchronization at the decoder due to these errors increases the damage in the reconstructed image. Our main goal in this research is to develop an algorithm that has the capability to detect errors, achieve synchronization and conceal errors.Compressing an image typically comprises of two steps 1. Reduction of redundancy making use of the structure of the data. 2. Assigning binary code words to the non-redundant data. Step 1 usually consists of two steps namely transformationanbsp;...
|Title||:||Error Resilient Image Transmission Using T-codes and Edge-embedding|
|Publisher||:||ProQuest - 2007|