Abstract
Image enhancement is an important function of stereoscopic endoscopy. 3D images of stereoscopic endoscopy usually suffer from various kinds of degradation because of undesired noise, inhomogeneous brightness and poor contrast. In addition, it often contains color mismatch and different luminance between two stereo views. It will lead to many problems applying traditional image enhancement methods for 3D images of stereoscopic endoscopy. In order to solve those problems, we proposed a novel image enhancement algorithm which consists of three steps: adjusting image by contrast limited adaptive histogram equalization method, choosing the reference image and color matching. The experimental results show that the proposed algorithm produces high quality 3D images by improving image contrast, enhancing the details of the image obviously, removing the color cast and improving consistency of two stereo views. Therefore, the proposed method can obtain high quality 3D images under stressful conditions and be easily applied to stereoscopic endoscopy.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
