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Research on an Improved Medical Image Enhancement Algorithm Based on P-M Model
Beibei Dong1, Jingjing Yang1, Shangfu Hao1
1The College of Information Science and Engineering, Hebei North University, Zhangjiakou, Hebei, 075000, China.
The Open Biomedical Engineering Journal
|December 3, 2015
Summary
This study introduces an Improved Image Enhancement Algorithm Based on P-M Model (IIEABPM) to enhance medical image details. IIEABPM effectively improves image clarity, contrast, and brightness while preserving texture features.
Area of Science:
- Medical Imaging
- Image Processing
- Computer Vision
Background:
- Image enhancement is crucial for medical image analysis and diagnosis.
- The conventional Image Enhancement Algorithm Based on P-M Model (IEABPM) can lead to loss of texture details.
Purpose of the Study:
- To address the limitations of IEABPM by proposing an improved algorithm.
- To enhance image clarity, contrast, and brightness in medical images.
Main Methods:
- Development of an Improved Image Enhancement Algorithm Based on P-M Model (IIEABPM).
- Simulation and comparative analysis of IIEABPM against IEABPM.
Main Results:
- IIEABPM effectively overcomes the texture detail loss issue of IEABPM.
- The proposed IIEABPM demonstrates significant improvements in image clarity, contrast, and brightness.
Conclusions:
- IIEABPM offers a superior approach to medical image enhancement compared to IEABPM.
- The enhanced algorithm aids in better visual interpretation of medical images for diagnosis.
