New Modified RLE Algorithms to Compress Grayscale Images with Lossy and Lossless Compression

Abstract

New modified RLE algorithms to compress grayscale images with lossy and lossless compression, depending on the probability of repetition of pixels in the image and the pixel values to reduce the size of the encoded data by sending bit 1 instead of the original value of the pixel if the pixel’s value is repeated. The proposed algorithms achieved good reduction of encoded size as compared with other compression method that used to compare with our method and decrease encoding time by good ratio.

Authors and Affiliations

Hassan Albahadily, Alaa Altaay, Viktar Tsviatko, Valery Kanapelka

Keywords

Related Articles

Iterative Learning Control for Trajectory Tracking of Single-link Flexible Arm

This paper focuses on the issue of tracking the trajectory of a flexible arm. The purpose is to ensure the flexible arm follows the desired path in the joint space. To achieve our objective, we have three problems to sol...

Multi-Agent Based Model for Web Service Composition

The evolution of the Internet and the competitiveness among companies were factors in the explosion of Web services. Web services are applications available on the Internet each performing a particular task. Web users of...

The Fir Digital Filter Design based on Iwpso

The essence of finite impulse response (FIR) digital filter design is the problem of the parameter optimization. Namely the optimal parameters of FIR digital filter are the core of the design. In due to the traditional d...

SHPIS: A Database of Medicinal Plants from Saudi Arabia

Many studies in the past have revealed the use of the indigenous medicinal plant for the treatment of various diseases in Saudi Arabia. However, the details of these indigenous essential medicinal herbs and their therape...

Optimal Pragmatic Clustering for Wireless Networks

Nodes’ clustering in wireless networks is one of the solutions that used to improve network performance. This paper discusses the clustering in wireless networks. Then it presents a novel clustering algorithm named Pragm...

Download PDF file
  • EP ID EP164706
  • DOI 10.14569/IJACSA.2016.070734
  • Views 89
  • Downloads 0

How To Cite

Hassan Albahadily, Alaa Altaay, Viktar Tsviatko, Valery Kanapelka (2016). New Modified RLE Algorithms to Compress Grayscale Images with Lossy and Lossless Compression. International Journal of Advanced Computer Science & Applications, 7(7), 250-255. https://europub.co.uk/articles/-A-164706