Results 251 to 260 of about 1,128,183 (289)
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A Fast Algorithm for Color Image Segmentation
First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06), 2006Based on K-means and a two-layer pyramid structure, a fast algorithm is proposed for color image segmentation. The algorithm employs two strategies. Firstly, a two-layer structure of a color image is established. Then, an improved K-means with integer based lookup table implementation is applied to each layer.
Liju Dong +5 more
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Fast and adaptive color-to-grayscale conversion
ACM SIGGRAPH 2006 Sketches on - SIGGRAPH '06, 2006Methods and systems, including computer program products, for determining a plurality of color clusters based on a plurality of pixels associated with a color image, the clusters being fewer than the pixels. A grayscale value for each one of a plurality of points in a color space is determined.
Mark A. Ruzon +3 more
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Fast color image restoration with multisensors
International Journal of Imaging Systems and Technology, 2002AbstractIn this article, we consider restoring a single‐color image from two degraded frames of the same scene by a RGB sensor and a luminance sensor. The RGB‐to‐YIQ transformation, the classical Tikhonov regularization and the Neumann boundary condition are used in the restoration process.
Michael K. Ng 0001, Nirmal K. Bose
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cFAST: A fast color feature detector
2015 International Conference on Image Processing Theory, Tools and Applications (IPTA), 2015By extending the basic idea of FAST it is possible to create a detector that can operate directly on a RGB color image and on it detect a higher number of features. The higher number of points and the simplification of the metric put us in the position to impose an additional condition on the keypoints.
C. Robert Pech, Jens Vial, Andreas Zell
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Fast implementation of color constancy algorithms
SPIE Proceedings, 2009Color constancy is a feature of the human color perception system which ensures that the perceived color of objects remains relatively constant under varying illumination conditions, and therefore closer to the physical reflectance. This perceptual effect, discovered by Helmholtz, was formalized by Land and McCann in 1971, who formulated the Retinex
Jean-Michel Morel +2 more
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A fast parallel coloring of planar graphs with five colors
Information Processing Letters, 1987Abstract We have shown that coloring a planar graph with five colors is in complexity class NC. The crux of the algorithm is our ability to find a large set of independent vertices and change the colors of their neighbors so that each independent vertex can color itself. This improves the result of [2] which colors a planar graph with eight colors. A
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Fast local color transfer via dominant colors mapping
ACM SIGGRAPH ASIA 2010 Sketches, 2010Color transfer is an image editing technique which arises various applications, from daily photo appearance enhancement to movie post-processing. An ideal color transfer algorithm should keep the scene from the source image and apply the color style of the target image.
Weiming Dong +3 more
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Fast Color Change with Photochromic Fused Naphthopyrans
The Journal of Organic Chemistry, 2015Photochromic molecules can reversibly develop color upon irradiation with UV light. These smart molecules, mainly in the naphthopyran family, have been applied with success to ophthalmic lenses that darken quickly under sunlight and revert to the uncolored state after several minutes in the dark.
Sousa, C.M. +4 more
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Fast Trellis-Coded Color Quantization of Images
Real-Time Imaging, 2002Summary: We examine color quantization of images using trellis-coded quantization (TCQ) in both the RGB domain and YUV domain. Together with a simple dithering scheme, an eight-bit trellis-coded color quantizer reproduces images that are visually indistinguishable from the 24-bit originals.
Samuel S. Cheng 0001 +2 more
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Fast Algorithm for HDR Color Conversion
2016 Data Compression Conference (DCC), 2016The paper addresses a problem of perceptual artifacts that appear in Y'CbCr non-linear luminance 4:2:0 HDR video. A computationally inexpensive method is proposed for converting the 4:4:4 HDR video to Y'CbCr 4:2:0 nonconstant luminance format. The method removes artifacts in areas with saturated colors.
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