LOW LIGHT IMAGE ENHANCEMENT USING GROVER'S ALGORITHM ON SUPERPOSED LUMINANCE LEVELS

被引：0

作者：

Dhara, Sobhan Kanti ^{[1
]}

Sen, Debashis ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Elect & Elect Commun Engn, Kharagpur, W Bengal, India

来源：

2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2018年

关键词：

Low light image enhancement; Grover's algorithm; Quantum probability; ADAPTIVE GAMMA CORRECTION; CONTRAST ENHANCEMENT; HISTOGRAM EQUALIZATION; FRAMEWORK;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Usually, limited information is available for enhancing low light images. We propose that presence of interactions between superposed luminance levels be exploited to draw reliable information for the enhancement. Grover's algorithm implements the interaction resulting in information passing between luminance levels, following which a noise-resilient transformation is employed. Qualitative and quantitative results depict that our proposal is capable of enhancing low light images better than the state-of-the-art.

引用

页码：1113 / 1117

页数：5

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