Minimum mean brightness error quad histogram equalization for scanning electron microscope images

N. M. Shukri, K. Sim, J. Leong
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引用次数: 1

Abstract

This paper studies the Contrast and Brightness Enhancement Technique for Scanning Electron Microscope images. Low contrast and/or brightness SEM image may have some hidden or information loss due to this limitation from image environment. This leads to the design of Minimum Mean Brightness Error Quad Histogram Equalization (MMBEQHE) technique. The MMBEQHE improves the visual image quality (qualitative measurement) and enhances the quantitative measurement (metric). This MMBEQHE technique produces the least amount of Absolute Mean Brightness Error (AMBE) with maximum brightness preserved, good peak signal-to-noise ratio for good contrast enhancement and better Structural Similarity (SSIM) value with better enhancement and still maintain image energy conservation.
扫描电镜图像最小平均亮度误差四方直图均衡化
本文研究了扫描电镜图像的对比度和亮度增强技术。由于图像环境的限制,低对比度和/或亮度的扫描电镜图像可能会有一些隐藏或信息丢失。为此,设计了最小平均亮度误差四方图均衡化(MMBEQHE)技术。MMBEQHE提高了视觉图像质量(定性测量),增强了定量测量(度量)。MMBEQHE技术产生的绝对平均亮度误差(AMBE)最小,亮度保持最大;峰值信噪比好,对比度增强效果好;结构相似度(SSIM)值好,增强效果好,仍然保持图像能量节约。
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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