Owen Jow
Graphics & Image Processing
- 184[1] - Rasterizing SVG Files
- 184[2] - Mesh Manipulation
- 184[3] - Path Tracing
- 184[4] - Lens Simulation
- 184[5] - Fluid Simulation
- 194[1] - Colorization via Alignment
- 194[2] - Pinhole Camera
- 194[3] - Frequencies
- 194[4] - Seam Carving
- 194[5] - Face Morphing
- 194[6] - Light Fields
- 194[7] - Image Stitching
- 194[8] - Single View Modeling
- 194[9] - Video Textures
Colorization via Alignment
The input: no more and no less than the Prokudin-Gorskii collection, formatted as digitized stacks of glass plate negatives (where each of the aforementioned negatives represents a single RGB color channel).
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The output: colorized photographs. In this particular case, colorization comes down to aligning the three negatives and stacking them into a single (height) x (width) x (3) NumPy array. We align by experimentally translating two of the negatives and measuring the quality of alignment with the final negative, through normalized cross-correlation over either colors or edges. Eventually, of course, our aim is to take the RGB alignment with the best score.
To speed up the process, we run a coarse-to-fine search (read: image pyramid) over the displacements.
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