Distinct Method to Measure the Quality of 2D Image Compression Techniques

Authors: Mohammed H. Rasheed, Hussein Nadhem Fadhel, Mohammed M. Siddeq

Abstract:

In this paper, we presented tools for evaluating image quality that effectively align with human perception, emphasizing their usefulness in assessing the visual quality of images. These tools offer quantitative metrics to facilitate the comparison of various image compression algorithms. Specifically, we propose two metrics designed to measure the quality of decompressed images. These metrics utilize combined data (CD) derived from both the original and decompressed images to deliver accurate assessments. By comparing the results of our proposed metrics with widely used standards such as Peak Signal-to-Noise Ratio (PSNR) and Root Mean Square Error (RMSE), we demonstrate that our approach provides a closer match to human visual perception of image quality. This alignment underscores the practical application of the proposed metrics in scenarios requiring subjective evaluation accuracy.

Keywords: RMSE, Root Mean Square Error, PSNR, Peak Signal-to-Noise Ratio, image quality metrics, image compression.

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