利用lαβ與Lab色彩空間進行分析之彩色影像品質評量系統

Abstract

本篇論文是利用lαβ與Lab這兩種貼近人類視覺習慣的色彩空間來研究彩色影像的品質。我們先將彩色影像在不同的色彩頻道上進行各種量化失真處理，然後設計一系列實驗，讓受測者對經過失真處理的影像評分。我們以無母數統計方式對結果進行分析，首先討論單一頻道失真處理的實驗結果分佈趨勢；再混合各頻道的失真影像互相比較；最後比較文獻中與我們提出的彩色影像品質評量公式對多頻道失真處理影像的計算結果。我們也會比較lαβ與Lab色彩空間兩者的使用結果。

This thesis presents an improved Color Image Quality Metric to evaluate the quality of color images. The Metric uses two color spaces that resemble the human visual system: lαβ and Lab. The color images are quantized in different channels and then ranked by all subjects through a series of experiments. We analyzed the results by using nonparametric statistics: the trends of single-channel distorted images were discussed and followed by the comparison of the mixed single-channel distorted images. Finally, we compared the calculating results between the metric in the literature and what we proposed based on mixed dual-channel distorted images. The comparisons of lαβ and Lab color space was carried out as well.