Image Fusion based on（DCT）Discrete Cosine Transform

发布时间：2023-03-01 19:57

　　

【文章页数】：80 页

【学位级别】：硕士

【文章目录】：
Acknowledgements
ABSTRACT
ABREVIATION
Chapter 1 Introduction
    1.1 Background
    1.2 Current Status of Image Fusion at China and Abroad
        1.2.1 The Global Trend in Remote Sensing Image Fusion
        1.2.2 Remote Sensing Image Fusion in China
    1.3 Application of Image Fusion
        1.3.1 Multi-Focus Image
        1.3.2 Infrared Image and Visible Light Image
        1.3.3 Medical Image Fusion
        1.3.4 Remote Sensing Image Fusion
    1.4 Main Work and Research Achievements
        1.4.1 Main contents of the Research Project
        1.4.2 Research Achievements
    1.5 Summary
Chapte 2 Enhancement to Image Compression Using DCT Technique
    2.1 Overview of Digital Image
    2.2 Why do Image Compression?
    2.3 Image Compression Methods
        2.3.1 Compression of lossless Images
    2.4 Criteria for choosing an Image Compression Technique
    2.5 Summary
Chapter 3 Implementation of Image Compression
    3.1 Video Image Services
    3.2 Video Image Codecs in 3GPP
    3.3 Compression of Images using DCT
    3.4 Decompression of Images
    3.5 Results Obtained
    3.6 Summary
Chapter 4 DCT-based Image Fusion
    4.1 Image Fusion Methods
        4.1.1 Pixel Level Fusion Method
        4.1.2 Feature Level Fusion Method
        4.1.3 Decision-Level Fusion Method
    4.2 Image Fusion Algorithm for Remote Sensing Application
        4.2.1 IHS (Intensity-Hue-Saturation) Transform
        4.2.2 Brovey Transformation and Color Normalization
        4.2.3 High Pass Filtering (HPF)
        4.2.4 Principal Component Analysis (PCA)
        4.2.5 Wavelet Transform (WT)
        4.2.6 Discrete Cosine Transform (DCT)
    4.3 Remote Sensing Images Fusion
        4.3.1 DCT for Images Fusion
        4.3.2 The Characteristics of Remote Sensing Satellites (MS.PAN)
        4.3.3 Extract Fusion Images for Remote Sensing Image Fusion in MATLAB
    4.4 Summary
Chapter 5 Conclusions and Future Work
    5.1 Conclusions
    5.2 Future Work
References



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