Abstract
This work introduces techniques addressed to enhance the coding performance obtained when compressing images that contain areas with irrelevant information, here called no-data regions. No-data regions can be produced due to several factors, such as geometric corrections, overlapping of successive layers of information, a malfunction of the sensor used to capture the image, etc. Most coding systems are not devised to consider such regions separately from the rest of the image, sometimes causing an important loss in the coding efficiency. Within the framework JPEG2000, we propose five techniques that address this issue. Experimental results suggest that the application of the proposed techniques can achieve, in some cases, a compression gain of 130 over a compression without applying the proposed techniques.
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González-Conejero, J., Aulí-Llinàs, F., Bartrina-Rapesta, J., Serra-Sagristà, J. (2007). JPEG2000 Coding Techniques Addressed to Images Containing No-Data Regions. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2007. Lecture Notes in Computer Science, vol 4678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74607-2_93
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DOI: https://doi.org/10.1007/978-3-540-74607-2_93
Publisher Name: Springer, Berlin, Heidelberg
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