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A typical consumer digital camera uses a Color Filter Array (CFA) to sense only one color component per image pixel. The original three-color image is reconstructed by interpolating the missing color components. This interpolation process (known as demosaicing) corresponds to solving an under-determined system of linear equations. In this paper, we show that by replacing the traditional CFA with a...
Robust extraction of text from scene images is essential for successful scene text recognition. Scene images usually have non-uniform illumination, complex background and existence of text-like objects. Due to non-uniform illumination the contrast of text pixels sinks and merges with background. As a result the common assumption of a homogeneous text region on a nearly uniform background cannot be...
In this paper, a novel digital camera sensor architecture to acquire images with high fidelity under low light conditions is proposed. Today, almost all digital cameras have only red, green, and blue color pixels. Due to their limited sensitivity to the wavelengths of visible light, the images captured using these color pixels under low light conditions are noisy. A new sensor architecture that has...
Understanding of text information in a natural scene is very useful and important in many real applications. Extracting text information from signboard in natural scenes is involved to variations of existing problems, such as uneven illumination and shadow, blurring and scratching, multi color, and complex background. Many approaches have been proposed to over challenges in text extraction. However,...
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