@inproceedings {344,
	title = {Efficient and robust approach to simultaneous non-rigid image registration and gamma estimation in the frequency domain},
	booktitle = {2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition},
	year = {2008},
	abstract = {<p>This paper presents an efficient and robust method for performing non-rigid image registration and relative gamma estimation in a simultaneous manner. The proposed method identifies regions of interest within the target image and determines the optimal correspondence and relative gamma between each region of interest and the reference image. The problem of finding the optimal correspondence and relative gamma between each region of interest and the reference image is combined and formulated such that both problems can be solved as a single minimum squared distance problem efficiently using the Fast Fourier Transform (FFT). The resulting correspondence and relative gamma information is used to estimate the geometric transformation between the target image and the reference image, as well as perform gamma correction between the images. Experimental results demonstrate that good registration and relative gamma estimation accuracy can be achieved using the proposed method, making it well-suited for registering images captured under different levels of exposure.</p>
},
	keywords = {frequency domain, gamma estimation, Non-rigid, registration, simultaneous},
	author = {A Wong and W Bishop}
}
@inproceedings {377,
	title = {Simultaneous gamma correction and registration in the frequency domain},
	booktitle = {International Conference on Image Processing, Computer Vision, and Pattern Recognition},
	year = {2007},
	abstract = {<p>This paper presents a novel method for performing the registration and gamma correction of images in a simultaneous manner. The image registration and relative gamma estimation problems are formulated such that both problems are solved at the same time by solving a single minimum squared distance problem. The proposed method utilizes the Fast Fourier Transform (FFT) to solve the combined registration and relative gamma estimation problem in an efficient manner. This method is invariant to gamma differences between images, making it suitable for registering images acquired under different exposure levels and illumination conditions. Experimental results demonstrate that high registration accuracy and high relative gamma estimation accuracy can be achieved using the proposed algorithm.</p>
},
	keywords = {frequency domain, gamma correction, registration, simultaneous},
	author = {A Wong and W Bishop}
}
