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1 Vladimir Botchko botchko@lut.fi Lecture 4. Image Enhancement Lappeenranta University of Technology (Finland)
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2 Image Enhancement n Simple intensity transformations n Histogram processing n Image subtraction n Image averaging n Spatial filtering (smoothing, sharpening) n Enhancement in the frequency domain n Example of manual edge enhancement:
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3 Simple intensity transformations n Contrast stretched
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4 Simple intensity transformations n Intensity level slicing: n Original image (top) n Thresholded (left) n Gray-level slicing (lower right)
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5 Image Enhancement n Simple intensity transformations n Histogram processing n Image subtraction n Image averaging n Spatial filtering (smoothing, sharpening) n Enhancement in the frequency domain
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6 Histogram equalization
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7 Image Enhancement n Simple intensity transformations n Histogram processing n Image subtraction n Image averaging n Spatial filtering (smoothing, sharpening) n Enhancement in the frequency domain
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8 Image subtraction
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9 Image Enhancement n Simple intensity transformations n Histogram processing n Image subtraction n Image averaging n Spatial filtering (smoothing, sharpening) n Enhancement in the frequency domain
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10 Image averaging. Spatial filtering (smoothing) n Original image (upper left) n Original + noise (upper right) n Smoothed image (lower right) n Median smoothing (lower left)
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11 Sharpening n Deatil/edge enhancement like unsharp masking
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12 Image Enhancement n Simple intensity transformations n Histogram processing n Image subtraction n Image averaging n Spatial filtering (smoothing, sharpening) n Enhancement in the frequency domain
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13 Enhancement in the frequency domain n High pass filtering
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14 Enhancement in the frequency domain n Low pass filtering
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