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Journal ArticleDOI

Image restoration of compressed image using classified vector quantization

TLDR
This paper extends and modifies classified vector quantization (CVQ) to improve the quality of compressed images and shows that the image quality is improved dramatically.
About
This article is published in Pattern Recognition.The article was published on 2002-02-01. It has received 59 citations till now. The article focuses on the topics: Image processing & Image quality.

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Citations
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Journal ArticleDOI

A fast k-means clustering algorithm using cluster center displacement

TL;DR: In this paper, a fast k-means clustering algorithm (FKMCUCD) is proposed, which uses the displacements of cluster centers to reject unlikely candidates for a data point, and the experimental results show that compared to full search, their proposed method can reduce computational complexity by a factor of 1.37-4.39 using the data set from six real images.
Journal ArticleDOI

Two improved k-means algorithms

TL;DR: Experimental results demonstrate that both algorithms can provide much better accuracy of classification than the traditional k-means algorithm.
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A fast exact k-nearest neighbors algorithm for high dimensional search using k-means clustering and triangle inequality

TL;DR: A new exact k-NN algorithm called kMkNN (k-Means for k-Nearest Neighbors) that uses the k-means clustering and the triangle inequality to accelerate the searching for nearest neighbors in a high dimensional space.
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Postprocessing of Compressed Images via Sequential Denoising

TL;DR: A novel postprocessing technique for compression-artifact reduction based on posing this task as an inverse problem, with a regularization that leverages on existing state-of-the-art image denoising algorithms, based on the recently proposed Plug-and-Play Prior framework.
Journal ArticleDOI

A fast VQ codebook generation algorithm using codeword displacement

TL;DR: A fast codebook generation algorithm called CGAUCD (Codebook Generation Algorithm Using Codeword Displacement) is presented by making use of the codeword displacement between successive partition processes by implementing a fast search algorithm named MFAUPI for VQ encoding in the partition step of C GAUCD.
References
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Journal ArticleDOI

An Algorithm for Vector Quantizer Design

TL;DR: An efficient and intuitive algorithm is presented for the design of vector quantizers based either on a known probabilistic model or on a long training sequence of data.
Journal ArticleDOI

Classified Vector Quantization of Images

TL;DR: This work proposes a new coding method, classified vector quantization (CVQ), which is based on a composite source model and obtains better perceptual quality with significantly lower complexity with CVQ when compared to ordinary VQ.
Journal ArticleDOI

Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images

TL;DR: The reconstruction of images from incomplete block discrete cosine transform (BDCT) data is examined and two methods are proposed for solving this regularized recovery problem based on the theory of projections onto convex sets (POCS) and the constrained least squares (CLS).
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Projection-based spatially adaptive reconstruction of block-transform compressed images

TL;DR: A spatially adaptive image recovery algorithm is proposed based on the theory of projections onto convex sets that captures both the local statistical properties of the image and the human perceptual characteristics.
Journal ArticleDOI

Generalized Image Restoration by the Method of Alternating Orthogonal Projections

TL;DR: In this article, the authors adopt a view that many problems of image restoration are probably geometric in character and admit the following initial linear formulation: the original f is a vector known a priori to belong to a linear subspace of a parent Hilbert space, but all that is available to the observer is its image P_{a} f, the projection of f onto a known linear sub space, also in \cal H ).
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