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Attainment of 60nm Resolution in Phase-Contrast X
Attainment of 60nm Resolution in Phase-Contrast X

Nuclear Medicine Imaging
Nuclear Medicine Imaging

... • Quantization is the process of representing the values of a sampled signal or image using a finite set of allowed values. • Using n bits per sample and positive integers only, there exist 2n possible quantized levels, spanning the range [0, 2n − 1]. • If n = 8 bits are used to represent each pixel ...
Image-Based Rendering with Occlusions via Cubist Images
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... In this paper, we study the idea of IBR based on a flattened, possibly torn, wrap-around texture image (the source image) and the paths in time of camera rays mapped from their 3D scene intersection points to this single warped image. We also investigate the feasibility of sparse spatial camera-ray ...
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... blurred image from original → high-frequency detail (harmonization) The edge sharpened image can then be added back to the original image to make up for some blurring in the original image: CR unsharpmasking - freq. processing The effects of convolution cannot in general be undone by a ‘de-convoluti ...
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nebula_8_15 - boinc - University of California, Berkeley

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EDGE DETECTION

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Jung Yeon Soo Jung ENGL 102 Analysis Essay April 25, 2016
Jung Yeon Soo Jung ENGL 102 Analysis Essay April 25, 2016

... in outdoor programs, play sport with their friends or make new friends. When friends and family start having a more profound meaning in the kid’s life, it all can result in better social skills, feeling of satisfaction and happiness and the lower rate of depression for the whole nation as a block. T ...
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Spatial anti-aliasing



In digital signal processing, spatial anti-aliasing is the technique of minimizing the distortion artifacts known as aliasing when representing a high-resolution image at a lower resolution. Anti-aliasing is used in digital photography, computer graphics, digital audio, and many other applications.Anti-aliasing means removing signal components that have a higher frequency than is able to be properly resolved by the recording (or sampling) device. This removal is done before (re)sampling at a lower resolution. When sampling is performed without removing this part of the signal, it causes undesirable artifacts such as the black-and-white noise near the top of figure 1-a below.In signal acquisition and audio, anti-aliasing is often done using an analog anti-aliasing filter to remove the out-of-band component of the input signal prior to sampling with an analog-to-digital converter. In digital photography, optical anti-aliasing filters are made of birefringent materials, and smooth the signal in the spatial optical domain. The anti-aliasing filter essentially blurs the image slightly in order to reduce the resolution to or below that achievable by the digital sensor (the larger the pixel pitch, the lower the achievable resolution at the sensor level).
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