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1. At the aspect of image enhancement technique, this paper proposed the adaptive gray-scale extension and enhanced the higher temperature region, which is important to this system.
2. Subareas of image processing include image enhancement, pattern detection and recognition and scene analysis and computer vision.
3. This paper proposes an image enhancement method based on image information measure.
4. For the problem of image enhancement, an improved nonlinear extrapolation method in frequency space is proposed.
5. The traditional image enhancement approaches include gray-scale transformation, histogram modification, histogram equalization, image smoothing and Wiener filtration.
6. The traditional image enhancement methods play an important role in improving the image quality.
7. Fingerprint Preprocess includes Fingerprint Foreground Extraction, Image Enhancement and Thinning.
8. A method of image enhancement denoising is descibed based on wavelet transform and threshold shrinkage.
8. Sentencedict.com is a sentence dictionary, on which you can find nice sentences for a large number of words.
9. In this paper, the unsharp masking method of image enhancement is discussed.
10. Histogram equalization is classical approach of image enhancement. But we usually equipoise the whole image one time, that will bring on insufficiency on the minutia part's enhancement.
11. Devise to implementes a number of commonly used image enhancement and fringe inspect algorithm.
12. This procedure realize the function of image enhancement using histogram equalization method to achieve image enhancement.
13. Focused on the wavelet analysis in image enhancement, noise reduction, compression and fusion.
14. The traditional algorithms for image enhancement have the shortcoming of noise over - enhancement.
15. As a means of low level image processing, image enhancement usually has ambiguity and vagueness.
16. A novel image enhancement technique suitable for low light level image, dualistic sub image enhancement based on two dimensional histogram analysis and histogram equalization, is presented.
17. Image enhancement technology to improve the image quality of an important technology.
18. In chapter 5,(sentencedict.com) we propose an image enhancement algorithm in transform field based on fuzzy information processing technique.
19. Methods: 1 Image preprocessing ( De noising, Image enhancement ).
20. It can reduce noise more effectively than classic method. Contraposing colorful soupy images, this thesis studied the image enhancement method in different color spaces.
21. Aiming at the problems of vagueness and uncertainty when processing an image, the authors bring forward a kind of image enhancement processing algorithm for visual property based on fuzzy-rough sets.
22. To solve these problems, the paper presents two classes of ways: One based on image restoration technique and the other based on image enhancement technique.
23. Do 2-D process such as image match, background elimination, image enhancement, fascia and connection tissue segmentation on the virtual China Human body data set.
24. For infrared image with the characteristics of low contrast and low signal-to-noise, a infrared image enhancement method based on Wavelet Transform and Lateral Inhibition Network is presented.
25. Experiments show that the algorithm excels traditional ones in image enhancement effects and anti - noise capabilities.
26. Thus, we will modify this through the technology of image enhancement.
27. It presents a wide range of classical algorithms including image enhancement, image conversion, image edge detection, image restoration, etc.
28. The whole algorithm consists of function modules of motion detection, noise filter, deinterlacing and image enhancement.
29. For regions with high grey-scale level or with tensely variable grey level, the image enhancement coefficients shall be adaptively controlled based on local mean value and variance.
30. The undecimated discrete wavelet transform(UDWT)is a translation invariant transform, and performs well in the multispectral image enhancement and two-sensor image fusion problems.
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