Analysis and Extension of the Ponomarenko et al. Method, Estimating a Noise Curve from a Single Image
Miguel Colom, Antoni Buades
→ BibTeX
@article{ipol.2013.45,
    title   = {{Analysis and Extension of the Ponomarenko et al. Method, Estimating a Noise Curve from a Single Image}},
    author  = {Colom, Miguel and Buades, Antoni},
    journal = {{Image Processing On Line}},
    volume  = {3},
    pages   = {173--197},
    year    = {2013},
    doi     = {10.5201/ipol.2013.45},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{https://doi.org/10.5201/ipol.2013.45}}
published
2013-07-23
reference
Miguel Colom, and Antoni Buades, Analysis and Extension of the Ponomarenko et al. Method, Estimating a Noise Curve from a Single Image, Image Processing On Line, 3 (2013), pp. 173–197. https://doi.org/10.5201/ipol.2013.45

Communicated by Bartomeu Coll
Demo edited by Miguel Colom

Abstract

In the article "An Automatic Approach to Lossy Compression of AVIRIS Images" N.N. Ponomarenko et al. propose a new method to specifically compress AVIRIS images. As part of the compression algorithm, a noise estimation is performed with a proposed new algorithm based on the computation of the variance of overlapping 8x8 blocks. The noise is estimated on the high-frequency orthonormal DCT-II coefficients of the blocks. To avoid the effect of edges and textures, the blocks are sorted according to their energy measured on a set of low-frequency coefficients. The final noise estimation is obtained by computing the median of the variances measured on the high-frequency part of the spectrum of the blocks using only those whose energy (measured on the low-frequencies) is low. A small percentile of the total set of blocks (typically the 0.5%) is used to select those blocks with the lower energy at the low-frequencies. Although the method measures uniform Gaussian noise, it can be easily adapted to deal with signal-dependent noise, which is realistic with the Poisson noise model obtained by a CCD device in a digital camera.

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