Radiometric Calibration from a Single Image

Photometric methods in computer vision require calibration of the camera's radiometric response, and previous works have addressed this problem using multiple registered images captured under different camera exposure settings. In many instances, such an image set is not available, so we propose a method that performs radiometric calibration from only a single image, based on measured RGB distributions at color edges. This technique automatically selects appropriate edge information for processing, and employs a Bayesian approach to compute the calibration. Extensive experimentation has shown that accurate calibration results can be obtained using only a single input image.

• Type: Conference
• Year: 2004
• Where: CVPR
• Authors: Stephen Lin, Jinwei Gu, Shuntaro Yamazaki, Heung-Yeung Shum
• Keywords: Camera Exposure Settings, Computer Vision, CVPR 2004, Radiometric Calibration, Radiometric Response, Single Input Image, Vision Require Calibration