DocumentCode :
2827315
Title :
Image reconstruction from compressed linear measurements with side information
Author :
Thirumalai, Vijayaraghavan ; Frossard, Pascal
Author_Institution :
Signal Process. Lab. - LTS4, Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
2669
Lastpage :
2672
Abstract :
This paper proposes a joint reconstruction algorithm for compressed correlated images that are given under the form of linear measurements. We consider the particular problem where one image is selected as the reference image and it is used as a side information for decoding the compressed correlated images. These compressed images are given under the form of random measurements that are further quantized and entropy coded. The joint decoder estimates the correlation model based on the geometric transformation of features captured by a structured dictionary. We observe that the high frequency components are not efficiently captured in the estimated image when the correlation information is used alone for image prediction. Hence, we propose a reconstruction strategy that uses the information in the measurements to recover the missing visual information in the predicted image. The reconstruction is based on an optimization algorithm that enforces the reconstructed image to be consistent with the quantized measurements. We further add additional constraints to ensure that the reconstructed image is close to the image predicted from the correlation estimation. The non-linearities introduced due to quantization are considered on both correlation and reconstruction algorithms in order to improve the performance. Experimental results demonstrate the benefit of the reconstruction algorithm as it brings improved coding performance especially at high rate and outperforms independent coding solutions based on JPEG 2000.
Keywords :
estimation theory; image coding; image reconstruction; optimisation; JPEG 2000; correlation information; geometric transformation; image compression; image estimation; image prediction; image reconstruction; joint decoder estimation; joint reconstruction algorithm; linear measurement compression; optimization algorithm; quantized measurements; random measurements; side information; Correlation; Decoding; Image coding; Image reconstruction; Joints; Optimization; Reconstruction algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
ISSN :
1522-4880
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2011.6116217
Filename :
6116217
Link To Document :
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