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Color Filter Array (CFA) interpolation is an integral part of image processing pipeline for single sensor digital cameras. Many CFA algorithms have been proposed over the years to improve resulting image quality. One such algorithm is the highly successful Directional Linear Minimum Mean-Square Error Estimation (DLMMSE) method. We make several observations on this algorithm and propose a new method...
In standard digital color imaging, each pixel position acquires data for only one color plane and the remaining two color planes must be inferred through a process known as demosaicking. Furthermore, the image is susceptible to blurring artifacts due to a moving camera or fast moving subject. In this work we develop a robust framework to demosaick the color filter array (CFA) image while reducing...
Typical digital cameras use a single-chip image sensor covered with a mosaic of red, green, and blue color filters for capturing color information. At each pixel location, only one of the three color values is known. The interpolation of the two missing color values at each pixel in a color filter array image (CFA) is called demosaicing. In this paper, we propose a novel training-based approach for...
To obtain the full color image, at least three channels are required at each color location, however the image sensor obtains only the intensity of the brightness and cannot separate color information, three image sensors are required per pixel to capture the full color image. Since the image sensor is expensive, most of digital still cameras (DSCs) adopt single image sensor array with color filter...
Most digital camera uses the color filter array to reduce the cost and size. When we use the color filter array, however, we need to interpolate the missing pixels. In this paper, we propose an enhanced directionally weighted demosaicing algorithm for the color filtered images of the single-sensor digital camera. The noise can be mixed to the captured image and the min, max, and min-max filters are...
Characterization of in-field defect growth with time in digital image sensors is important for measuring the quality of sensors as they age. While more defects were found in cameras exposed to high cosmic ray radiation environments, comparing the collective growth rate of different sensor types has shown that CCD imagers develop twice as many defects as APS imagers, indicating that CCD imagers may...
This paper describes a real-time method for foreground/background segmentation of a color video sequence based primarily on range data of a time-of-flight sensor. This method uses depth information of a TOF-sensor paired with a high resolution color video camera to efficiently segment foreground from background in a two-step process. First a trimap is produced using only range data: areas are located...
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