Technical Book: High-Quality Enhancement through Degradation Image Restoration and Noise Reduction

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WS259 *Available for preview.

last updated：Jul 21, 2011

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Technical Book [Restoration of Degraded Images and Noise Reduction for High-Quality Enhancement] *Available for preview.

<Supervision> Kazuhiro Fujita, Ryukoku University <Authors> Kazuhiro Fujita, Ryukoku University Masaharu Muneyasu, Kansai University Nobuyuki Nakamori, Kyoto Institute of Technology Hiroshi Kondo, Kyushu Institute of Technology Riichi Nakura, Image Transmission Analysis Research Institute Nobuyuki Watanabe, Olympus Hong'en Liao, University of Tokyo <Publication Date> March 26, 2008 <Format> B5 size, 199 pages <Price> 52,290 yen (including tax)

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Chapter 1: Fundamentals of Degraded Image Restoration and Noise Reduction 1. Mathematical Representation of Images 2. Least Squares Estimation 3. Model of the Degradation Process 4. Image Transformation 5. Degraded Image Restoration 6. Parameters in Degraded Image Restoration Chapter 2: Degraded Image Restoration Techniques Based on Probability Theory 1. Probabilistic Models of Images 2. Image Degradation Systems 3. Conventional Degraded Image Restoration Methods 4. Parameter Estimation for Degraded Images 5. Image Restoration Methods Considering Edges 6. Enhancement of JPEG Images Chapter 3: Noise Removal Techniques for Natural Images 1. Noise Added to Natural Images 2. Noise Removal Using Mean Filters 3. Noise Removal Using Median Filters 4. Extension of Median Filters 5. Noise Removal Filters Using Neural Networks Chapter 4: Noise Removal Techniques Based on Wavelets 1. Issues with Fourier Analysis 2. Wavelet Transform 3. Noise Reduction Using Wavelet Thresholding 4. Noise Reduction Using Wavelet Maximum Coefficient Method

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Chapter 5: Degradation and Restoration of Images Due to Compression and Expansion 1. Image Compression Techniques 2. JPEG Technology 3. Compatible Compression Methods Chapter 6: Noise Generation in Image Transmission Systems and Its Impact 1. Structure of Digital Image Transmission Systems 2. Basics of Noise 3. Random Noise in Image Capture Systems 4. Noise Generation Associated with Digitization Including Image Compression 5. Noise Generation and Impact in Digital Signal Transmission Chapter 7: Enhancing the Quality of Digital Camera Images 1. Noise 2. Optical Distortion 3. Recovery of Blur 4. Tone Reproduction Chapter 8: Enhancing the Quality of Medical Images 1. Medical Image Information 2. High-Quality Processing of Images 3. High-Quality Processing of Ultrasound Images 4. Restoration of Degraded Endoscopic Images Chapter 9: Enhancing the Quality of Satellite Images 1. Noise and Image Quality Improvement Strategies in Image Capture Systems 2. Improvement of Image Quality Through the Development of Image Data Compression 3. Development of Error Correction Coding Methods and Advanced Technologies 4. Construction of Future Image Capture and Transmission Systems and Future Challenges