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Very-high-quality image compression based on noise modeling

✍ Scribed by Fionn Murtagh; Jean-Luc Starck; Mireille Louys

Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
173 KB
Volume
9
Category
Article
ISSN
0899-9457

No coin nor oath required. For personal study only.

✦ Synopsis

We present a new image compression method for veryhave wide currency and have been the subject of comparisons high-quality lossy compression. This method caters for image data with the method described here (in the case of HCOMPRESS in in regimes of (a) detector imperfections, which motivates a robust

[4]) or will be so compared below (in the case of JPEG):

approach based on the median transform; and (b) noise, which is explicitly sought and separated out, since noise is inherently noncom-

HCOMPRESS [5]: This method is most similar in spirit

pressible. An in-depth assessment is carried out on real data, relative to the approach described in this article. It uses the computo the standard JPEG compression method. Comparable visual qualtationally fast Haar wavelet transform approach, whereas ity is based on 260:1 compression with the new method, and 40:1 we argue below for a nonwavelet (and instead another compression with JPEG. The assessment procedure, based on the astronomical images used, is an objective approach for determining multiresolution) approach.

very-high-quality visual reconstructions.

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