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en:projects:details:har02 [2009/06/05 23:04]
cangiani
en:projects:details:har02 [2016/06/23 11:26]
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----- dataentry project ---- 
-title : Joint Source Channel Coding for Image Transmission 
-contactname:​ Harm Cronie 
-contactmail_mail:​ harm.cronie@epfl.ch 
-contacttel: 021 6936793 
-contactroom:​ BC150 
-type : master semester 
-status : available 
-created_dt : 2009-06-05 
-taken_dt :  YYYY-MM-DD 
-completed_dt : YYYY-MM-DD 
-by : STUDENT_NAME 
-output_media : MEDIA_ADDRESS_TO_FINAL_REPORT 
-table : projects 
-====== 
-template:​datatemplates:​project 
----- 
- 
-In this assignment we consider the efficient transmission of images 
-over a noisy channel. On one hand we would like to represent the image 
-with as less bits as possible. This is done by image compression 
-methods such as jpeg compression. On the other hand we need some 
-redundancy in the form of an error-correcting code to ensure reliable 
-transmission over the channel. Traditionally,​ these two tasks are 
-solved separately. One of the disadvantages of this approach is that a 
-few residual errors after decoding the error-correcting code usually 
-lead to a very large error in image reconstruction. 
- 
-Joint source channel coding methods can provide a finer trade-off 
-between the image reconstruction quality and the amount of noise the 
-system can deal with. In this assignment you will implement signal 
-processing algorithms to represent an image efficiently. These methods 
-include image transforms such as the discrete cosine transform and 
-quantization. After this signal processing stage, a Raptor code can be 
-applied to allow for reliable transmission over the channel. The goal 
-is to reconstruct the image at the receiver side with as less 
-distortion as possible given the signal to noise ratio of the channel.