Novel Methods to Measure the Quality of 2D Images Compression Techniques-Reference-Cited by-同舟云学术

Novel Methods to Measure the Quality of 2D Images Compression Techniques

Published:2023-03-06 Issue: Volume: Page:
ISSN:
Container-title:
language:
Short-container-title:

Author:

Rasheed Mohammed H.¹,Fadhel Hussein Nadhem¹,Siddeq Mohammed M.¹

Affiliation:

1. Northern Technical university

Abstract

Abstract It is essential to use image quality measuring metrics tools that can provide accurate and close to perceived quality sense of the tested images. Such tools give metrics that can be used to compare the performance of compression algorithms. In this paper, two new metrics to measure the quality of decompressed images are proposed. Compared with other metrics e.g. peak signal to noise ratio (PSNR) and root mean square error (RMSE), the proposed metrics give values with the closest reflection of image quality perception by the human eye.

Publisher

Research Square Platform LLC

Reference25 articles.

1. Sayood, K. (2001). Introduction to Data Compression, 2nd edition, Academic Press, Morgan Kaufman Publishers.

2. Using Two Levels DWT with Limited Sequential Search Algorithm for Image Compression;Siddeq M;Journal of Signal and Information Processing,2012

3. Applied Minimize-Matrix-Size Algorithm on the Transformed images by DCT and DWT used for image Compression;Siddeq MM;International Journal of Computer Applications,2013

4. Siddeq, M. M., & Rodrigues, M. A. (2014). A Novel Image Compression Algorithm for high resolution 3D Reconstruction, 3D Research (5 No vol.). Springer Vol. 2.10.1007/s13319-014-0007-6.

5. Siddeq, M. M., & Rodrigues, M. (2015). Applied sequential-search algorithm for compression-encryption of high-resolution structured light 3D data. In: Blashki, Katherine and XIAO, Yingcai, (eds.) MCCSIS: Multi-conference on Computer Science and Information Systems 2015. IADIS Press, 195–202.