Image Resolution and Contrast Enhancement of Satellite Geographical Images with Removal of Noise using Wavelet Transforms

Prajakta P. Khairnar; Prof. C. A. Manjare

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Image Resolution and Contrast Enhancement of Satellite Geographical Images with Removal of Noise using Wavelet Transforms

机译：利用小波变换去除噪声的卫星地理图像的图像分辨率和对比度增强

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In this paper the technique for resolution and contrast enhancement of satellite geographical images based on discrete wavelet transform (DWT), stationary wavelet transform (SWT) and singular value decomposition (SVD) has been proposed. In this, the noise

机译：本文提出了一种基于离散小波变换（DWT），平稳小波变换（SWT）和奇异值分解（SVD）的卫星地理图像分辨率和对比度增强技术。在此，噪音

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《International Journal of Engineering Trends and Technology 》 |2014年第12期| 共页
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Prajakta P. Khairnar; Prof. C. A. Manjare;
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3. Development of optimal weight algorithm for efficient application of dual tree complex wavelet transform for resolution enhancement of satellite images [J] . Garg Akanksha, Murugan Deepak, Singh Dharmendra Current Science: A Fortnightly Journal of Research . 2019 ,第12期

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4. Satellite image contrast and resolution enhancement using discrete wavelet transform and singular value decomposition [C] . Aditi Sharma, Ajay Khunteta 2016 International Conference on Emerging Trends in Electrical Electronics amp; Sustainable Energy Systems . 2016

机译：使用离散小波变换和奇异值分解的卫星图像对比度和分辨率增强
5. Novel super-resolution algorithms and enhanced noise removal algorithm for image restoration systems and applications. [D] . Pang, Ho-Yuen. 2002

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6. Non-contrast enhanced MRI for evaluation of breast lesions: comparison of non-contrast enhanced high spectral and spatial resolution (HiSS) images vs. contrast enhanced fat-suppressed images [O] . Milica Medved, Xiaobing Fan, Hiroyuki Abe, -1

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7. Image Resolution and Contrast Enhancement of Satellite Geographical Images with Removal of Noise using Wavelet Transforms [O] . Khairnar, Prajakta P., Manjare, C. A. 2014

机译：卫星地理信息的图像分辨率和对比度增强使用小波变换去除噪声的图像

Image Resolution and Contrast Enhancement of Satellite Geographical Images with Removal of Noise using Wavelet Transforms

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