Journal ArticleDOI
Image compression by vector quantization: a review focused on codebook generation
Reads0
Chats0
TLDR
After reviewing the state-of-the-art in the field of vector quantization, this work focuses on iterative and non-iterative codebook generation algorithms.About:
This article is published in Image and Vision Computing.The article was published on 1994-12-01. It has received 27 citations till now. The article focuses on the topics: Linde–Buzo–Gray algorithm & Vector quantization.read more
Citations
More filters
Journal ArticleDOI
A novel image encryption–compression scheme using hyper-chaos and Chinese remainder theorem
TL;DR: A new image encryption scheme integrated with compression simultaneously that first uses 2D hyper-chaos discrete nonlinear dynamic system to shuffle the plain image, and then applies Chinese remainder theorem to diffuse and compress the shuffled image, simultaneously.
Journal ArticleDOI
A fast exact GLA based on code vector activity detection
TL;DR: A new method for reducing the number of distance calculations in the generalized Lloyd algorithm (GLA), which is a widely used method to construct a codebook in vector quantization, that utilizes reduced comparison search and calculates distances only to the active code vectors.
Book ChapterDOI
Color Image Retrieval Based on Primitives of Color Moments
Jau-Ling Shih,Ling-Hwei Chen +1 more
TL;DR: In this paper, a color image retrieval method based on the primitives of color moments will be proposed and the experimental results show that the proposed method is better than others.
Journal ArticleDOI
Minimax partial distortion competitive learning for optimal codebook design
Ce Zhu,Lai-Man Po +1 more
TL;DR: A minimax criterion of minimizing the maximum partial distortion is introduced in this paper, and a new algorithm called minimax partial distortion competitive learning (MMPDCL) is developed for optimal codebook design.
Journal ArticleDOI
A new security solution to JPEG using hyper-chaotic system and modified zigzag scan coding
TL;DR: This paper proposes a new scheme based on discrete hyper-chaotic system and modified zigzag scan coding that achieves high compression performance and robust security simultaneously and gives the comparisons between this scheme and Zhang's scheme.
References
More filters
Journal ArticleDOI
Least squares quantization in PCM
TL;DR: In this article, the authors derived necessary conditions for any finite number of quanta and associated quantization intervals of an optimum finite quantization scheme to achieve minimum average quantization noise power.
Least Squares Quantization in PCM
TL;DR: The corresponding result for any finite number of quanta is derived; that is, necessary conditions are found that the quanta and associated quantization intervals of an optimum finite quantization scheme must satisfy.
Journal ArticleDOI
An Algorithm for Vector Quantizer Design
Y. Linde,A. Buzo,Robert M. Gray +2 more
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.
Book
Vector Quantization and Signal Compression
Allen Gersho,Robert M. Gray +1 more
TL;DR: The author explains the design and implementation of the Levinson-Durbin Algorithm, which automates the very labor-intensive and therefore time-heavy and expensive process of designing and implementing a Quantizer.
Journal ArticleDOI
Image coding using wavelet transform
TL;DR: A scheme for image compression that takes into account psychovisual features both in the space and frequency domains is proposed and it is shown that the wavelet transform is particularly well adapted to progressive transmission.