Lecture 1
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Nancy Cheng, 204c Pacific Hall, 346-3674 nywc@darkwing.uoregon.edu |
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Session Objectives
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Course Overview
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Image Processing: Pixels vs. Vectors | Picture Elements (rasters) vs. Segments defined by endpoints
File sizes larger for pixels rather than vectors Resolution: density of graphic information
Resizing images: by resampling a new grid of pixels (file size changes) OR by changing resolution (file size stays the same) Color Depth: Bits of color information stored per pixel (b/w, grayscale, indexed color, full-color RGB) Dithering: Approximating more colors with fewer Anti-aliasing: Simulating smooth diagonal edges with intermediate values |
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Common Themes | Select & Transform Transformations
Organizing Information for reuse
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Image Processing: Color Models | Perceived color = light color as reflected by surface pigment color
Subtractive pigment model:
Additive light models:
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Photoshop Skills | Basic steps 1. Photo-correction: Cropping, retouching w/ Levels, Rotating whole, changing Canvas vs. Image size, Save for Web 2. Selection tools, using the Shift key to add to a selection set, Alt key Next steps
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