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                "url": "https://doi.org/10.5201/ipol.2013.45"
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                    "atom:title": "ipol_45",
                    "codemeta:applicationCategory": "Image Processing",
                    "codemeta:author": [
                        {
                            "codemeta:affiliation": "CMLA, ENS Cachan, France",
                            "codemeta:name": "Miguel Colom"
                        },
                        {
                            "codemeta:affiliation": "Universitat de les Illes Balears, Spain",
                            "codemeta:name": "Antoni Buades"
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                    "codemeta:dateCreated": "2011-01-01",
                    "codemeta:datePublished": "2014-02-27",
                    "codemeta:description": "Analysis and Extension of the Ponomarenko et al. Method, Estimating a Noise Curve from a Single Image",
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                        "codemeta:identifier": "ISSN: 2105-1232 DOI: 10.5201/ipol",
                        "codemeta:name": "Image Processing On Line (IPOL)",
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                    },
                    "codemeta:keywords": [
                        "noise",
                        "noise estimation",
                        "gaussian noise",
                        "DCT"
                    ],
                    "codemeta:license": {
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                    "codemeta:referencePublication": {
                        "codemeta: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.",
                        "codemeta:identifier": "https://doi.org/10.5201/ipol.2013.45",
                        "codemeta:name": "Analysis and Extension of the Ponomarenko et al. Method, Estimating a Noise Curve from a Single Image",
                        "codemeta:url": "http://www.ipol.im/pub/art/2013/45/article.pdf"
                    },
                    "codemeta:relatedLink": "http://demo.ipol.im/demo/45/",
                    "codemeta:releaseNotes": "This code implements the algorithm(s) published in the IPOL paper \"Analysis and Extension of the Ponomarenko et al. Method, Estimating a Noise Curve from a Single Image\"",
                    "codemeta:url": "http://www.ipol.im/pub/art/2013/45/",
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