JPEG2000 rate-control for improved transmission of windows-of-interest in remote sensing scenarios

José Lino Monteagudo-Pereira; Joan Bartrina-Rapesta; Francesc Aulí-Llinàs; Joan Serra-Sagristà

doi:10.1117/12.826496

31 August 2009 JPEG2000 rate-control for improved transmission of windows-of-interest in remote sensing scenarios

José Lino Monteagudo-Pereira, Joan Bartrina-Rapesta, Francesc Aulí-Llinàs, Joan Serra-Sagristà

Proceedings Volume 7455, Satellite Data Compression, Communication, and Processing V; 74550J (2009) https://doi.org/10.1117/12.826496
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

Hyperspectral images used in remote sensing can reach hundreds of megabytes due to the large number of components and high spatial and bit-depth resolution. When these images have to be transmitted, interactive transmission is necessary to deliver only those portions of the image that the client has requested. In such a scenario, compression is a useful tool to reduce the required amount of network bandwidth. JPEG2000 is a powerful image and video coding standard that, among other features, provides scalability by spatial location, component, quality, and resolution. This is used by the JPEG2000 Interactive Protocol (JPIP) to enable the interactive transmission of imagery. One of the most important aspects of a JPIP server is the rate-control algorithm used to select the portions of the compressed code-stream that will be delivered to client. The purpose of this research is to introduce new rate-control methods for the JPIP server aimed to achieve optimal performance. We focus our attention in the adaptation of two rate-control methods developed for the JPEG2000 coder and decoder. Experimental results suggest that both methods significantly improve coding performance without penalizing computational load.

Citation Download Citation

José Lino Monteagudo-Pereira, Joan Bartrina-Rapesta, Francesc Aulí-Llinàs, and Joan Serra-Sagristà "JPEG2000 rate-control for improved transmission of windows-of-interest in remote sensing scenarios", Proc. SPIE 7455, Satellite Data Compression, Communication, and Processing V, 74550J (31 August 2009); https://doi.org/10.1117/12.826496

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KEYWORDS

JPEG2000

Image compression

Image resolution

Remote sensing

Spatial resolution

Signal to noise ratio

Distortion

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