A technical introduction to digital video
A technical introduction to digital video
A video camera system with enhanced zoom tracking and auto white balance
IEEE Transactions on Consumer Electronics
Robust automatic white balance algorithm using gray color points in images
IEEE Transactions on Consumer Electronics
Design considerations of color image processing pipeline for digital cameras
IEEE Transactions on Consumer Electronics
Video camera system using fuzzy logic
IEEE Transactions on Consumer Electronics
Automatic white balance for digital still camera
IEEE Transactions on Consumer Electronics
Expert Systems with Applications: An International Journal
Heap slicing using type systems
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part III
Simultaneous image color correction and enhancement using particle swarm optimization
Engineering Applications of Artificial Intelligence
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This paper provides new insights into methods performing automatic white balance for a digitally captured image. It is shown that automatic white balance may be formulated as an optimization problem with explicit definition of objective function, decision variables, and constraints. Three alternative methods of formulating the optimization problem are proposed. It is also shown that fuzzy inference rules, commonly utilized in existing literatures to evaluate to what degree an image satisfying the gray world assumption, may be incorporated into the objective function of the optimization problem. A two-stage adjustment law with constrained search direction is then proposed to update the decision variables. A gradient descent algorithm is employed to numerically solve the problem, which guarantees the convergence and that optimal white balance effort is achieved for most images. Experimental results and a comparative study justify that the proposed methods are preferable to existing methods with regard to the execution time, the algorithmic complexity, and the performance.