MMMar 15, 2018

Image Compression Using Proposed Enhanced Run Length Encoding Algorithm

arXiv:1804.00589v127 citations
Originality Synthesis-oriented
AI Analysis

This work addresses image compression for color images, but it is incremental as it builds on an existing RLE algorithm.

The authors tackled image compression by enhancing the Run Length Encoding (RLE) algorithm to reduce file size, specifically for 24-bit true color images, achieving a compression ratio improvement over the original RLE method as tested on ten BMP images.

In this paper, we will present p roposed enhance process of image compression by using RLE algorithm. This proposed yield to decrease the size of compressing image, but the original method used primarily for compressing a binary images [1].Which will yield increasing the size of an original image mostly when used for color images. The test of an enhanced algorithm is performed on sample consists of ten BMP 24-bit true color images, building an application by using visual basic 6.0 to show the size after and before compression process and computing the compression ratio for RLE and for the enhanced RLE algorithm.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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