X-ray Image Enhancement Based on Adaptive Gradient Domain Guided Image Filtering
Source abstract
Abstract
Due to the contrast of X-ray images being low, significant elements including organs, bones, and nodules are very difficult to identify, so contrast enhancement is necessary. In this paper, an X-ray image enhancement algorithm based on adaptive gradient domain guided image filtering is proposed. The amplification factor in the gradient domain guided image filtering needs to be set manually; it needs to constantly adjust the parameters to achieve the best enhancement effect, and this also increases the computational complexity. In order to solve this problem, an adaptive amplification factor is defined in this paper, and the proposed algorithm is applied to the X-ray image enhancement. Experimental results demonstrate that the proposed method is superior to state-of-the art algorithms in terms of detail enhancement and edge-preserving.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Image Enhancement Techniques · Advanced Image Fusion Techniques · Image and Signal Denoising Methods
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
College of Science, Beijing Forestry University, Beijing 100083, China
College of Communication Engineering, Jilin University, Changchun 130012, China
Department of Biomedical Engineering, McGill University, Montreal, QC H3A 2B4, Canada
Funding
Cross-Media Intelligent Technology Project of Beijing National Research Center for Information Science and Technology (BNRist)
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