EAS221 Lecture Notes - Lecture 8: Digital Image
12 Feb 2020
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"humans : are adept atvisually interpreting data . Have a demonstrated abilitytoidentify several types of imagery. I. scene with a given dn , x axis =dn. "linear contranet enhancements : known as stretching ,linearlyexpands original dn range . best applied to images with gaussian (bellshape) or near -gaussian histogram (one mode) Minimum - maximum linear contract stretch: original min max dn assigned to full range of of available dn value. ? g~ e# full range available,algorithm matches. middlevalues are scaled many digital image processing systems automatically expand min imax dm to image brightness. G: percentage linear contrast stretch (saturation) : uses specific min - max at a certain % pixels from the histogram mean - can be # standard deviations used, can be 1. pixel trimmed.
