In this paper we present a dataset of images to test the performance of image processing algorithms, in particular demosaicing and denoising methods. Despite the plethora of demosaicing and denoising algorithms present in the literature, only few benchmarks are available to test their performance, and most of them are quite old, thus inadequate to represent the images captured by modern devices. The proposed dataset is composed by twenty 16 bit-depth images that can be used to test full-reference image quality metrics. More specifically, twelve pictures have been synthetically created by means of 2D or 3D softwares, while eight images have been captured by a high-end digital camera.
I3D : a new dataset for testing denoising and demosaicing algorithms / C. Bonanomi, S. Balletti, M. Lecca, M. Anisetti, A. Rizzi, E. Damiani. - In: MULTIMEDIA TOOLS AND APPLICATIONS. - ISSN 1380-7501. - (2018 Jul 21). [Epub ahead of print] [10.1007/s11042-018-6396-4]
I3D : a new dataset for testing denoising and demosaicing algorithms
C. Bonanomi
;M. Anisetti;A. Rizzi;E. Damiani
2018
Abstract
In this paper we present a dataset of images to test the performance of image processing algorithms, in particular demosaicing and denoising methods. Despite the plethora of demosaicing and denoising algorithms present in the literature, only few benchmarks are available to test their performance, and most of them are quite old, thus inadequate to represent the images captured by modern devices. The proposed dataset is composed by twenty 16 bit-depth images that can be used to test full-reference image quality metrics. More specifically, twelve pictures have been synthetically created by means of 2D or 3D softwares, while eight images have been captured by a high-end digital camera.File | Dimensione | Formato | |
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