Image Enhancement Using Similarity-Based Color Matching for High-Quality Stereoscopic 3D Image Acquisition

Lim, Younghoon; Chae, Eunjung; Lee, Eunsung; Kang, Wonseok; Paik, Joonki

doi:10.5594/m001454

Cited by 1 publication

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“…Stereoscopic 3D images often contain inconsistencies between left and right images acquired by a stereo camera due to an unstable filming environment. It results in major quality degradation such as color mismatch, different luminance and so on, and at the same time makes the audience feel dizzy and experience eyestrain [13]. Hence, it will lead to unmatched colors between two stereo views that the traditional image enhancement methods are performed for 3D images.…”

Section: Introductionmentioning

confidence: 99%

Image enhancement based on contrast limited adaptive histogram equalization for 3D images of stereoscopic endoscopy

Hai

2015

2015 IEEE International Conference on Information and Automation

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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.Index Terms-3D images, stereoscopic endoscopy, image enhancement, contrast limited adaptive histogram equalization, color matching.

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Section: Introductionmentioning

confidence: 99%

Image enhancement based on contrast limited adaptive histogram equalization for 3D images of stereoscopic endoscopy

Hai

2015

2015 IEEE International Conference on Information and Automation

View full text Add to dashboard Cite

show abstract

Image Enhancement Using Similarity-Based Color Matching for High-Quality Stereoscopic 3D Image Acquisition

Cited by 1 publication

References 10 publications

Image enhancement based on contrast limited adaptive histogram equalization for 3D images of stereoscopic endoscopy

Image enhancement based on contrast limited adaptive histogram equalization for 3D images of stereoscopic endoscopy

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