k-Modulus Method for Image Transformation

Abstract

In this paper, we propose a new algorithm to make a novel spatial image transformation. The proposed approach aims to reduce the bit depth used for image storage. The basic technique for the proposed transformation is based of the modulus operator. The goal is to transform the whole image into multiples of predefined integer. The division of the whole image by that integer will guarantee that the new image surely less in size from the original image. The k-Modulus Method could not be used as a stand alone transform for image compression because of its high compression ratio. It could be used as a scheme embedded in other image processing fields especially compression. According to its high PSNR value, it could be amalgamated with other methods to facilitate the redundancy criterion.

Authors and Affiliations

Firas A. Jassim

Keywords

Related Articles

Application of multi regressive linear model and neural network for wear prediction of grinding mill liners

The liner of an ore grinding mill is a critical component in the grinding process, necessary for both high metal recovery and shell protection. From an economic point of view, it is important to keep mill liners in opera...

Browser-Based DDoS Attacks without Javascript

Recently, browser-based distributed denial of service (DDoS) attacks, in which a malicious JavaScript program is distributed through an advertisement network, and runs in the background of the web browser, were observed....

Cost Optimization of Cloud Computing Services in a Networked Environment

Cloud computing service providers' offer their customers' services maximizing their revenues, whereas customers wish to minimize their costs. In this paper we shall concentrate on consumers' point of view. Cloud computin...

Electromyography Signal Acquisition and Analysis System for Finger Movement Classification

Electromyography (EMG) is very important to capture muscle activity. Although many jobs establish data acquisition system, however, it is also essential to demonstrate that these data are reliable. In this sense, one pro...

Dynamic Time Warping and FFT: A Data Preprocessing Method for Electrical Load Forecasting

For power suppliers, an important task is to accurately predict the short-term load. Thus many papers have introduced different kinds of artificial intelligent models to improve the prediction accuracy. In recent years,...

Download PDF file
  • EP ID EP114836
  • DOI 10.14569/IJACSA.2013.040340
  • Views 88
  • Downloads 0

How To Cite

Firas A. Jassim (2013). k-Modulus Method for Image Transformation. International Journal of Advanced Computer Science & Applications, 4(3), 267-271. https://europub.co.uk/articles/-A-114836