Journal Article10.1016/S0262-8856(00)00090-1
An adaptive irregular sampling algorithm and its application to image coding
Giovanni Ramponi,Sergio Carrato +1 more
63
TL;DR: An image coding system is proposed which, thanks to both the peculiar sample distribution and a suitably designed interpolation scheme, yields good subjective quality images at low bit rates, avoiding the annoying artefacts which are typical of block-based coding techniques as JPEG.
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About: This article is published in Image and Vision Computing. The article was published on 01 May 2001. The article focuses on the topics: Irregular Z-buffer & Nonuniform sampling.
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Citations
Adler's Physiology of the Eye
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Fast fourier transform algorithms with applications
Shuhong Gao,Todd Mateer +1 more
- 01 Jan 2008
TL;DR: This book presents an introduction to the principles of the fast Fourier transform, which covers FFTs, frequency domain filtering, and applications to video and audio signal processing.
Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing
TL;DR: This paper proposes a spatio-temporal domain fuzzy rough sets rule for selecting a deinterlacing method that is suitable for regions with high motion or frequent scene changes, and employs a size reduction of the database system, keeping only the information essential for the process.
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Resampling Images to a Regular Grid From a Non-Regular Subset of Pixel Positions Using Frequency Selective Reconstruction
TL;DR: Frequency Selective Reconstruction is introduced, a algorithm that reconstructs image signals by exploiting the property that small areas of images can be represented sparsely in the Fourier domain and is able to outperform state-of-the-art reconstruction algorithms and gains of more than 1 dB PSNR are possible.
47
Content Adaptive Mesh Representation of Images Using Binary Space Partitions
Michel Sarkis,Klaus Diepold +1 more
TL;DR: This work presents a novel method based on binary space partitions in combination with three clustering schemes to approximate an image with a mesh that leads to reduced size meshes in a fast manner while retaining the visual quality of the reconstructed images.
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TL;DR: A new method of farthest point strategy for progressive image acquisition-an acquisition process that enables an approximation of the whole image at each sampling stage-is presented, retaining its uniformity with the increased density, providing efficient means for sparse image sampling and display.
An axiomatic approach to image interpolation
TL;DR: A set of basic assumptions to be satisfied by the interpolation algorithms which lead to a set of models in terms of possibly degenerate elliptic partial differential equations are proposed.
396
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