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               Image Processing

     Image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or, a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. Image processing usually refers to digital image processing, but optical and analog image processing also are possible. This article is about general techniques that apply to all of them. The acquisition of images (producing the input image in the first place) is referred to as imaging.


Optical sorting, Face detection, Feature detection, Medical image processing, Morphological image processing, Exploration geophysics, Non-photorealistic rendering.

                Project Titles

  • Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids
  • Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation
  • A Lossless Compression Scheme for Bayer Color Filter Array Images
  • Video quality estimation for packet loss based on No-Reference method
  • Tomographic Imaging of Dynamic Objects With the Ensemble Kalman Filter
  • An improved color image encryption based on chaotic map and OCML model
  • Research on three image difference algorithm
  • Block-Based Image Compression With Parameter-Assistant Inpainting
  • Optical Flow Estimation for a Periodic Image Sequence
  • Variable Density Compressed Image Sampling

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