High Dynamic Range Image Processing Technology and MATLAB Simulation
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~High Dynamic Range Image Processing~ *Available for preview.
Author: Masahiro Okuda, Associate Professor, Faculty of International Environmental Engineering, Kitakyushu City University (Ph.D. in Engineering) Graduated from Keio University, Faculty of Science and Technology in 1993. Completed the doctoral program at the Graduate School of Science and Technology, Keio University in 1998, earning a Ph.D. in Engineering. Served as a visiting researcher at the University of California, Santa Barbara in 1998 and at Carnegie Mellon University in 1999. Became a visiting researcher at Keio University in 2000. Since 2001, he has been an associate professor at the Faculty of International Environmental Engineering, Kitakyushu City University, and has been an associate professor since 2008, continuing to the present. Engaged in research on digital signal processing, multirate signal processing, image coding, and 3D model signal processing. Member of IEEE, the Institute of Electronics, Information and Communication Engineers, and the Institute of Image Information and Television Engineers. Ph.D. in Engineering (Keio University, 1998). Format: B5 size, 108 pages, with accompanying CD (containing m-files).
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basic information
This book summarizes recent research findings on methods for acquiring HDR images, tone mapping, encoding, and image quality assessment. Chapter 1 covers the basics of image processing, providing excerpts on the fundamental concepts necessary for acquiring HDR images and tone mapping. Chapter 2 explains color spaces and visual characteristics that are closely related to HDR image processing. Chapter 3 discusses the fundamentals of HDR images and recent application examples. Chapter 4 explains the method of acquiring HDR images through the integration of multiple exposure images, while Chapter 5 discusses tone mapping, one of the most important techniques in HDR image processing, including several processing examples. Chapter 6 covers HDR image encoding and image quality assessment methods.
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Chapter 1: Basics of Image Processing 1. Input and Output of Images using MATLAB 2. Manipulating Pixel Values 3. Image Processing using Digital Filters 4. Edge-Preserving Filters 5. Contrast Enhancement Chapter 2: Color Spaces and Visual Characteristics 1. Photometric Quantities 2. Color Spaces 3. Visual Characteristics Chapter 3: Basics of HDR Images 1. Dynamic Range of Real Scenes 2. Applications 3. Sensors and Dynamic Range 4. Color Spaces and Image Formats Chapter 4: Techniques for Acquiring HDR Images 1. Integration of Multiple Exposures 2. Suppression of Blur and Ghosting 3. Generation of HDR Images using Stereo Cameras Chapter 5: Tone Mapping 1. Basics of Tone Mapping 2. Global Operators 3. Local Operators Chapter 6: Encoding and Quality Assessment of HDR Images 1. HDR Image Compression 2. Techniques for Range Compression in Preprocessing 3. Two-Layer Encoding 4. Quality Assessment using SNR 5. Visible Difference Predictor 6. CIEΔE *For detailed content, please download the catalog (brochure).
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Technical Book "High Dynamic Range Image Processing Technology and MATLAB Simulation" Chapter 1: Basics of Image Processing Chapter 2: Color Space and Visual Characteristics Chapter 3: Fundamentals of HDR Images Chapter 4: Techniques for Acquiring HDR Images Chapter 5: Tone Mapping Chapter 6: Encoding of HDR Images and Quality Assessment
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