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| Content Provider | IET Digital Library |
|---|---|
| Author | Xia, Wenyao Chen, Elvis C. S. Peters, Terry |
| Abstract | Stereoscopic endoscopes have been used increasingly in minimally invasive surgery to visualise the organ surface and manipulate various surgical tools. However, insufficient and irregular light sources become major challenges for endoscopic surgery. Not only do these conditions hinder image processing algorithms, sometimes surgical tools are barely visible when operating within low-light regions. In addition, low-light regions have low signal-to-noise ratio and metrication artefacts due to quantisation errors. As a result, present image enhancement methods usually suffer from heavy noise amplification in low-light regions. In this Letter, the authors propose an effective method for endoscopic image enhancement by identifying different illumination regions and designing the enhancement design criteria for desired image quality. Compared with existing image enhancement methods, the proposed method is able to enhance the low-light region while preventing noise amplification during image enhancement process. The proposed method is tested with 200 images acquired by endoscopic surgeries. Computed results show that the proposed algorithm can outperform state-of-the-art algorithms for image enhancement, in terms of naturalness image quality evaluator and illumination index. |
| Starting Page | 154 |
| Ending Page | 157 |
| Page Count | 4 |
| Volume Number | 5 |
| e-ISSN | 20533713 |
| Issue Number | Issue 5, Oct (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/htl/5/5 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/htl.2018.5067 |
| Journal | Healthcare Technology Letters |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2018-09-14 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Subject Keyword | Biology And Medical Computing Biomedical Optical Imaging Computer Vision And Image Processing Technique Desired Image Quality Different Illumination Regions Endoscopes Endoscopic Image Enhancement Endoscopic Surgery Enhancement Design Criteria Existing Image Enhancement Method Heavy Noise Amplification Illumination Index Image Enhancement Image Enhancement Process Image Processing Image Processing Algorithm Insufficient Light Source Irregular Light Source Low Signal-to-noise Ratio Low-light Region Medical Image Processing Medical Robotics Minimally Invasive Surgery Naturalness Image Quality Evaluator Noise Suppression Optical, Image And Video Signal Processing Stereoscopic Endoscopes Surfactant Surgical Tool |
| Content Type | Text |
| Resource Type | Article |
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