Order Statistics Learning Vector Quantizer [Correspondence] - Image Processing, IEEE Transactions on

نویسندگان

  • C. Kotropoulos
  • N. Nikolaidis
  • R. Yang
  • M. Gabbouj
چکیده

In this correspondence, we propose a novel class of learning vector quantizers (LVQ’s) based on multivariate data ordering principles. A special case of the novel LVQ class is the median LVQ, which uses either the marginal median or the vector median as a multivariate estimator of location. The performance of the proposed marginal median LVQ in color image quantization is demonstrated by experiments.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Predictive multistage vector quantizer design using asymptotic closed-loop optimization

This correspondence builds on the asymptotic closed-loop approach to predictive vector quantizer design (Khalil et al. 2001), and extends it to the design of predictive multistage vector quantizers for low bit rate video coding. The design approach resolves longstanding shortcomings, in particular, design stability and empty-cell problems. Simulation results show substantial gains over traditio...

متن کامل

Predictive vector quantization with intrablock prediction support region

A predictive vector quantization (PVQ) structure is proposed, where the encoder uses a predictor based on an intrablock support region, followed by a modified vector quantizer stage. Simulation results show that a modification on a previously published PVQ system led to an improvement of 1 dB in PSNR for Lenna.

متن کامل

Unsupervised texture classification using vector quantization and deterministic relaxation neural network

This paper describes the use of a neural network architecture for classifying textured images in an unsupervised manner using image-specific constraints. The texture features are extracted by using two-dimensional (2-D) Gabor filters arranged as a set of wavelet bases. The classification model comprises feature quantization, partition, and competition processes. The feature quantization process...

متن کامل

Three Improved Codebook Searching Algorithms for Image Compression Using Vector Quantizer

In this paper, we propose three improved codebook searching algorithms for vector quantization (VQ). Our improved schemes are based on three fast searching methods proposed by Huang et al., IEEE Transactions on Image Processing, 1 (3), 1992, 413–416 and the double test (DT) method proposed by Torres and Huguet, IEEE Transactions on Communications, 42 (2|3|4), 1994, 208–210. Compared with three ...

متن کامل

Variable-length constrained-storage tree-structured vector quantization

Constrained storage vector quantization, (CSVQ), introduced by Chan and Gersho (1990, 1991) allows for the stagewise design of balanced tree-structured residual vector quantization codebooks with low encoding and storage complexities. On the other hand, it has been established by Makhoul et al. (1985), Riskin et al. (1991), and by Mahesh et al. (see IEEE Trans. Inform. Theory, vol.41, p.917-30,...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004