The camera response function determines the relationship between the incident light on the camera sensor and the output pixel values that are produced. For most consumer cameras, this function is proprietary and needs to be estimated to create HDR images that accurately represent the light distribution of the captured scene. Several methods have been proposed in the literature to estimate this unknown mapping using multiple exposures techniques. In this study, we compare three of the most commonly used methods namely Debevec and Malik's , Mitsunaga and Nayar's , and Robertson et al.'s  response curve estimation algorithms in terms of how precisely they estimate an unknown camera response.