Comparitive Analysis and Findings on Dct & Lbg Compression Techniques

Moayad Al Falahi, J. Ganesh Sivakumar
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Abstract

1 Student, Bachelor of Software Engineering, Department of Computing Muscat College 2 Assistant Professor Department of Computing Muscat College Abstract: The main objective of this project is to develop an application to find the best compression technique to store Muscat College students' photographs in less storage. MATLAB software will be used to develop a Graphical User Interface GUI application and implement two image compression techniques which are lossless compression using the DCT algorithm and lossy compression using the LBG algorithm. The application shall allow the user to select and test a sample image by applying both these techniques for any student image he\she selects in order to compare the results by display the image after compression and the histogram to find which the most suitable compression technique is. Also, the application shall show the size of images before and after applying the compression process and show the compression ratio and relative data redundancy of compressed image/images. The main functionality is that the application shall allow the user to do bulk processing to apply image enhancement and image compression technique to enhance and compress all the photographs of students and store them in less space.
Dct与Lbg压缩技术的比较分析与发现
摘要:本项目的主要目的是开发一个应用程序,以寻找最佳的压缩技术来存储马斯喀特学院学生的照片在更少的存储空间。MATLAB软件将用于开发图形用户界面GUI应用程序,并实现两种图像压缩技术,即使用DCT算法的无损压缩和使用LBG算法的有损压缩。应用程序应允许用户选择并测试一个样本图像,将这两种技术应用于他选择的任何学生图像,以便通过显示压缩后的图像和直方图来比较结果,以找出最合适的压缩技术。应用程序还应显示应用压缩过程前后的图像大小,并显示压缩图像的压缩比和相对数据冗余。主要功能是应用程序允许用户进行批量处理,应用图像增强和图像压缩技术,对所有学生的照片进行增强和压缩,并将其存储在更小的空间中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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