«normalized pixel»

۴۲۰۸ نتیجه
  • Illumination effects on the differenced Normalized Burn Ratio's optimality for assessing fire severity

    سند علمی۲۰۱۰Int. J. Applied Earth Observation and GeoinformationSander Veraverbeke, Willem W. Verstraeten, Stefaan Lhermitte, Rudi Goossens

    The influence of illumination effects on the optimality of the dNBR (differenced Normalized Burn Ratio) was evaluated for the case of the 2007 Peloponnese (Greece) wildfires using a pre/post-fire Landsat TM (Thematic Mapper) image couple. Well illuminated pixels (south and south-

  • Filtering distributions of normals for shading antialiasing

    سند علمی۲۰۱۶High Performance GraphicsAnton Kaplanyan, S. Hill, Anjul Patney, Aaron E. Lefohn

    High-frequency illumination effects, such as highly glossy highlights on curved surfaces, are challenging to render in a stable manner. Such features can be much smaller than the area of a pixel and carry a high amount of energy due to high reflectance. These highlights are chall

  • Perceptual image quality assessment using a normalized Laplacian pyramid

    سند علمی۲۰۱۶HVEIValero Laparra, Johannes Ballé, Alexander Berardino, Eero P. Simoncelli

    We present an image quality metric based on the transformations associated with the early visual system: local luminance subtraction and local gain control. Images are decomposed using a Laplacian pyramid, which subtracts a local estimate of the mean luminance at multiple scales.

  • Validation Studies of the ATLAS Pixel Detector Control System

    سند علمی۲۰۰۵Joachim Schultes, Tobias Flick, Tobias Henß, Susanne Kersten

    The ATLAS pixel detector consists of 1744 identical silicon pixel modules arranged in three barrel layers providing coverage for the central region, and three disk layers on either side of the primary interaction point providing coverage of the forward regions. Once deployed into

  • Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps

    سند علمی۲۰۱۵Dilip Krishnan, Pierre Sermanet, Christian Puhrsch, Li Wan

    In the greater part of this thesis, we develop a set of convolutional networks that infer predictions at each pixel of an input image. This is a common problem that arises in many computer vision applications: For example, predicting a semantic label at each pixel describes not o

  • PixelNet: Towards a General Pixel-level Architecture

    سند علمی۲۰۱۶CoRRAayush Bansal, Xinlei Chen, Bryan C. Russell, Abhinav Gupta

    We explore architectures for general pixel-level prediction problems, from low-level edge detection to mid-level surface normal estimation [4] to high-level semantic segmentation. Convolutional predictors, such as the fullyconvolutional network (FCN), have achieved remarkable suc

  • Realistic and Detail Rendering of Village Virtual Scene Based on Pixel Offset

    سند علمی۲۰۱۲Chunjiang Zhao, Huarui Wu, Ronghua Gao

    Received: 21 Feb. 2012; Revised 16 May 2012; Accepted 03 Jul. 2012 ceived: May 8, 2012; Revised May 10, 2012; Accepted May 20, 2012 Abstract: Many complex detail objects in the village virtual scene are important to the photo-realistic rendering technology. Bump mapping, normal m

  • Quantifying Sub-Pixel Surface Water Coverage in Urban Environments Using Low-Albedo Fraction from Landsat Imagery

    سند علمی۲۰۱۷Remote SensingWeiwei Sun, Bo Du, Shaolong Xiong

    The problem of mixed pixels negatively affects the delineation of accurate surface water in Landsat Imagery. Linear spectral unmixing has been demonstrated to be a powerful technique for extracting surface materials at a sub-pixel scale. Therefore, in this paper, we propose an in

  • Image Segmentation Based on Fast Normalized Cut

    سند علمی۲۰۱۵Chunlan Zhao

    In this paper, we propose a fast image segmentation method based on normalized cut. This method apply simple linear iterative clustering super-pixel algorithm to obtain super-pixel regions, and then use affinity propagation clustering to extract the representative pixels in each

  • Image Reconstruction by Prioritized Incremental Normalized Convolution

    سند علمی۲۰۱۱SCIAAnders Landström, Frida Nellros, Håkan Jonsson, Matthew J. Thurley

    A priority-based method for pixel reconstruction and incremental hole filling in incomplete images and 3D surface data is presented. The method is primarily intended for reconstruction of occluded areas in 3D surfaces and makes use of a novel prioritizing scheme, based on a pixel