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Proceedings Paper

RMS reconstruction in JPEG 2000 for improved SAR texture reconstruction
Author(s): Kristo S. Miettinen; Ashwini Deshpande; Charles E. Farnung; Austin Lan
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Paper Abstract

Synthetic Aperture Radar (SAR) imagery has traditionally posed a challenge to image compression algorithms operating at low to moderate bit-rates (0.25 to 1.0 bits per pixel), because SAR texture is typically reconstructed as smooth fields. This smooth reconstruction is visually objectionable and conceals information from interpreters, who are accustomed to analyzing textures and using texture to define the context of reflecting point targets and clusters. JPEG 2000 is emerging as a new international standard for wavelet-based image compression, and it too tends to reconstruct SAR texture as smooth fields when operating at low or moderate bit-rates. This characteristic of the new standard motivates an attempt to carry texture synthesis techniques proven on other compression algorithms over to JPEG 2000. This present effort demonstrates the value of root-mean-square (RMS) reconstruction, a technique previously proven on a proprietary codec, for improving the visually perceived quality of JPEG 2000 compressed SAR images. RMS reconstruction is found to be extremely useful for JPEG 2000, both for improving the quality of compressed SAR images and also for improving the visual appearance of compressed electro-optical (EO) imagery.

Paper Details

Date Published: 7 December 2001
PDF: 10 pages
Proc. SPIE 4472, Applications of Digital Image Processing XXIV, (7 December 2001); doi: 10.1117/12.449756
Show Author Affiliations
Kristo S. Miettinen, Eastman Kodak Co. (United States)
Ashwini Deshpande, Eastman Kodak Co. (United States)
Charles E. Farnung, Eastman Kodak Co. (United States)
Austin Lan, Eastman Kodak Co. (United States)


Published in SPIE Proceedings Vol. 4472:
Applications of Digital Image Processing XXIV
Andrew G. Tescher, Editor(s)

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