TR2016-010
Universal Encoding of Multispectral Images
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- "Universal Encoding of Multispectral Images", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP.2016.7472519, March 2016, pp. 4453-4457.BibTeX TR2016-010 PDF
- @inproceedings{Valsesia2016mar,
- author = {Valsesia, Diego and Boufounos, Petros T.},
- title = {Universal Encoding of Multispectral Images},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2016,
- pages = {4453--4457},
- month = mar,
- doi = {10.1109/ICASSP.2016.7472519},
- url = {https://www.merl.com/publications/TR2016-010}
- }
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- "Universal Encoding of Multispectral Images", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP.2016.7472519, March 2016, pp. 4453-4457.
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MERL Contact:
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Research Areas:
Computational Sensing, Digital Video
Abstract:
We propose a new method for low-complexity compression of multispectral images. We develop on a novel approach to coding signals with side information based on recent advances in compressed sensing and universal scalar quantization. Our approach can be interpreted as a variation of quantized compressed sensing, where the most significant bits are discarded at the encoder and recovered at the decoder from the side information. The image is reconstructed using weighted total variation minimization, incorporating side information in the weights while enforcing consistency with the recovered quantized coefficient values. Our experiments validate our approach and confirm the improvements in rate-distortion performance.
Related News & Events
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NEWS MERL researchers present 12 papers at ICASSP 2016 Date: March 20, 2016 - March 25, 2016
Where: Shanghai, China
MERL Contacts: Petros T. Boufounos; Chiori Hori; Jonathan Le Roux; Dehong Liu; Hassan Mansour; Philip V. Orlik; Anthony Vetro
Research Areas: Computational Sensing, Digital Video, Speech & Audio, Communications, Signal ProcessingBrief- MERL researchers have presented 12 papers at the recent IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), which was held in Shanghai, China from March 20-25, 2016. ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing, with more than 1200 papers presented and over 2000 participants.