Color transfer in correlated color space
Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications
Portrait beautification: A fast and robust approach
Image and Vision Computing
New framework for automatic white balancing of digital camera images
Signal Processing
A novel hardware-software co-design for automatic white balance
MIV'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Multimedia, Internet & Video Technologies - Volume 7
Classification of a person picture and scenery picture using structured simplicity
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
PC-based asymmetry analyzer for facial palsy study in uncontrolled environment: A preliminary study
Computer Methods and Programs in Biomedicine
Image enhancement of underwater habitat using color correction based on histogram
IVIC'11 Proceedings of the Second international conference on Visual informatics: sustaining research and innovations - Volume Part I
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The paper describes a reliable and rapid method for detecting and removing a color cast (i.e. a super-imposed dominant color) in a digital image without any a priori knowledge of its semantic content. A multi-step algorithm classifies the input images as having no cast, evident cast, ambiguous cast, or intrinsic cast (images presenting a cast due to a predominant color that must be preserved). If an evident or ambiguous cast is found, a cast remover step, a modified version of the white balance algorithm, is then applied in the two cases of evident or ambiguous casts. The method we propose has been tuned and tested with positive results on a data set of over 650 images.