基于直方图间隙特征的伽马校正参数估计

doi:10.3969/j.issn.0255-8297.2024.02.010

Abstract

Abstract: This paper first analyzes the empty-bin distribution characteristics of the histogram of the gamma-corrected image and the gap feature of the histogram after the inverse gamma transformation on the gramma-corrected image. Subsequently, this gap feature from the inverse transform histogram is applied to estimate the tampered image parameters. Specifically, we first determine whether the image has undergone gamma correction by comparing the number of zero values at both ends of the histogram. Then we estimate the parameters accurately by the inverse-transformed histogram gap feature. Experimental results show that the proposed method outperforms the existing methods in terms of parameter estimation accuracy and demonstrating robustness on JPEG images with different quality factors before the transformation.

Key words: image forensics, parameter estimation, Gamma correction, histogram analysis

CLC Number:

TP309.2

WANG Wenjuan, YAO Heng. Gamma Correction Parameter Estimation Via Histogram Gap Feature[J]. Journal of Applied Sciences, 2024, 42(2): 290-301.

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Gamma Correction Parameter Estimation Via Histogram Gap Feature

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