Computational Photography

• Introduction
  • Prerequisites
  • Course Topics
  • What is Computational Photography?
  • Dual Photography
  • Panoramas
  • Why Study Computational Photography?
• Basics for Image Processing
  • Kernels
  • Gaussian Pyramids
  • Laplacian Pyramids
  • Sobel Operator
• Digital Image
  • What is a Digital Image?
    • Digital Image Formats
  • Point Processes
    • Operations on Images
  • Blending Modes
  • Smoothing
  • Convolution and Cross-Correlation
  • Gradients and Edge Detection
• Cameras
  • Camera Fundamentals
  • Lenses
  • Exposure
  • Sensors
• Fourier Transform
  • Lesson Objectives
  • Fourier Transform
  • Blending
  • Pyramids
  • Cuts
  • Features
  • Feature Detection and Matching
• Image Transformation
  • Image Transformations
  • Image Morphing
  • Panorama
  • High Dynamic Range (HDR)
  • Stereo
  • Photosynth
  • Extrinsic Camera Parameters
  • Intrinsic Camera Parameters
  • Camera Calibration
• Video Processing
  • Video Processing Fundamentals
  • Video Textures
  • Video Stabilization
  • Panoramic Video Textures
• Light Field
  • Light Field
  • Projector-Camera Systems
  • Coded Photography
• Resources
  • Android Apps
  • Camera Links
  • Courses Links
• Questions and Concepts
  • Epsilon to Coded Photography
  • Light Field
  • Computational Illumination
• Notes
• Image Transformations
  • Image Filtering vs Image Warping
  • Parametric Global Warping
    • 2D Scaling
    • 2D Rotation
    • 2D Shear
    • Mirroring
    • Properties of 2D Linear Transformations
  • Homogeneous Coordinates
  • 2D Transformations in Homogeneous Coordinates
    • Translation
    • Scale
    • Rotation
    • Shear
  • Affine Transformations
  • Projective Transformations
  • Summary of Transformation Types
  • Code Demos
    • Translation
    • Rotation
    • Scale and Shear
    • Affine Warp
    • Perspective Warp
  • Forward vs Inverse Warping
    • Forward Warping
    • Inverse Warping
  • Reference