Optimal Colour Quantization using Kohonen Neural Networks

نویسنده

  • Anthony H. Dekker
چکیده

A colour quantization technique is presented which maps 24-bit colour images to 8bit colour, using Self-Organizing Neural Networks. The quantized image is superior to that produced by existing methods, and has useful continuity properties.

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

Kohonen Neural Networks for Optimal Colour Quantization

We present a Self-Organizing Kohonen Neural Network for quantizing colour graphics images. The network is compared with existing algorithmic methods for colour quantization. It is shown experimentally that, by adjusting a quality factor, the network can produce images of much greater quality with longer running times, or slightly better quality with shorter running times than the existing metho...

متن کامل

Compression of Medical Images using Improved Kohonen Algorithm

Nowadays, neural networks are largely used in signal processing and images. In particular, Kohonen networks or Self Organizing Maps are unsupervised learning models. This method performs a vector quantization (VQ) on the values obtained after processing. The vector quantization has a potential to give more data compression maintaining the same quality. In this paper we propose new scheme to ima...

متن کامل

Hardware Implementation Issues of the Neighborhood Mechanism in Kohonen Self Organized Feature Maps

Abstract. In this paper, we discuss an important problem of the selection of the neighborhood radius in the learning schemes of the Winner Takes Most Kohonen neural network. The optimization of this parameter is essential in case of hardware realization of the network given that the lower values of the radius can result in significant reduction of both the power dissipation and the chip area, e...

متن کامل

An Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network

RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...

متن کامل

Vector Quantization Code Book Design Using Neural Networks

The Kohonen Self-Organizing Feature Map algorithm is compared to the K-Means vector quantization algorithm. Computation and storage requirements are calculated for both algorithms. A new algorithm which takes advantage of the structured code book produced by Kohonen's algorithm is introduced. This algorithm ooers a signiicant computational savings over full-search vector quantiza-tion without i...

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 1993