In image processing, computer graphics, and photography, high dynamic range imaging (HDRI or simply HDR) is set of techniques that allow a grater dynamic range between the lightest and darkest areas of an image than current standard digital imaging techniques or photographic methods. By fusing several low dynamic range (LDR) images together we can get a high dynamic range image. In this process we need to fuse less noisy LDR images together in order to get more pleasing output images. A detailed study on different sources of noise is carried out on this paper. They include photon shot noise, read noise, pattern noise, pixel response non-uniformity (PRNU), quantization error and thermal noise. We used a Canon DSLR camera for experimental results. © 2013 Springer-Verlag.
CITATION STYLE
Ravi Kiran, B., Madhavi, M., Kranthi Kiran, M., & Mishra, S. R. (2013). An experimental based study on different sources of noise for high dynamic range imaging. In Advances in Intelligent Systems and Computing (Vol. 199 AISC, pp. 707–713). Springer Verlag. https://doi.org/10.1007/978-3-642-35314-7_80
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