Perceived contrast is one of the most important attributes affecting image quality on displays. Three dimensional
digital TVs need contrast enhancement techniques to compensate for reduction in luminance levels. Also, mobile
displays demand efficient contrast enhancement techniques to improve degree of visibility under outdoor viewing
environment and reduce power consumptions. This paper presents a new content dependent contrast enhancement
technique to improve perceived image quality on displays. It is designed for real time implementation. Pairs of reference
cumulative distribution functions (CDF) of luminance level and corresponding tone mapping functions (TMFs) are
generated by off-line procedure. For real time implementation, an appropriate TMF is selected by comparing the CDF of
input image and reference CDFs. The selected TMF is then applied to an input image.
KEYWORDS: RGB color model, Cameras, Image quality, Color difference, Nickel, Digital cameras, Visualization, Photography, Matrix multiplication, Facial recognition systems
In these days, most of cellular phones have built-in digital camera. As number of pixels approaches to that of digital still
cameras, consumer's expectation of image quality taken by cellular phone camera is increasing. Automatic white balance
is a function to provide illuminant independent image quality. In this paper, a new automatic white balance method
suitable for cellular phone is proposed. Camera images are divided into three categories. They are first classified as
images with dominant color or images with variety of colors. Images having variety of colors are further divided into two
subclasses based on the existence of highlight area; images with and without highlight regions. Three different AWB
techniques are designed and applied to each of three classes. Experimental results indicate that the proposed technique
yields better performance than the conventional methods.
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