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Issues with Common Assumptions about the Camera Pipeline and Their Impact in HDR Imaging from Multiple Exposures

Publication by Gil Rodríguez Raquel, Javier Vazquez-Corra, Marcelo Bertalmío
Related to the Smart Asset re-Use in Creative Environments (SAUCE) project
Published in SIAM Journal on Imaging Sciences, 2019

Abstract:

Multiple-exposure approaches for high dynamic range (HDR) image generation share a set of building assumptions: that color channels are independent and that the camera response function (CRF) remains constant while changing the exposure. The first contribution of this paper is to highlight how these assumptions, which were correct for film photography, do not hold in general for digital cameras. As a consequence, results of multiexposure HDR methods are less accurate, and when tone-mapped they often present problems like hue shifts and color artifacts. The second contribution is to propose a method to stabilize the CRF while coupling all color channels, which can be applied to both static and dynamic scenes, and yield artifact-free results that are more accurate than those obtained with state-of-the-art methods according to several image metrics.