JOURNAL ARTICLE

X-ray Image Enhancement Based on Wavelet Transform

Abstract

Based on a combination of non-linear grad-contrast operator and multi-resolution wavelet analysis, a kind of image enhancement processing algorithm for useful tiny characters is presented. The algorithm can enhance the tiny characters while confine amplifying the noise. Low-contrast structure can be found in many kinds of digital images, which makes the images vague and uncertainly, especially in X-ray images. The analysis of the results shows that local regions of the image are enhanced by using the concept of the grad contrast to make image clearer adaptively. Experiments were conducted on real pictures, and the results show that the algorithm is flexible and convenient.

Keywords:
Contrast (vision) Artificial intelligence Computer science Image (mathematics) Wavelet Computer vision Wavelet transform Noise (video) Operator (biology) Image processing Mathematical morphology Pattern recognition (psychology) Algorithm Digital image Contrast enhancement

Metrics

11
Cited By
1.18
FWCI (Field Weighted Citation Impact)
18
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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