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A Total Variation–Based JPEG Decompression Model
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Weakly Differentiable Functions: Sobolev Spaces and Functions of Bounded Variation
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Regularization by Functions of Bounded Variation and Applications to Image Enhancement
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Nonlinear total variation based noise removal algorithms
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Convex Analysis and Variational Problems
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Reduction of blocking artifacts in JPEG compressed images
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Enhancement of JPEG-Compressed Images by Re-application of JPEG
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Expected absolute value estimators for a spatially adapted regularization parameter choice rule in L 1 -TV-based image restoration
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Image coding with optimal reconstruction
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An adaptive POCS algorithm for compression artifacts removal
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The JPEG still picture compression standard
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Measure Theory and Fine Properties of Functions
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ARTIFACT-FREE JPEG DECOMPRESSION WITH TOTAL GENERALIZED VARIATION
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