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Imatest Documentation

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<strong>Imatest</strong> <strong>Documentation</strong><br />

Image Quality<br />

Sharpness<br />

What is it and how is it measured?<br />

Image sharpness<br />

Sharpness is arguably the most important photographic image quality factor: it's the factor most closely related to the amount of<br />

detail an image can render. But it's not the only important factor. <strong>Imatest</strong> measures a great many others.<br />

Sharpness is defined by the boundaries between zones of different tones or colors. It is illustrated by the bar pattern of increasing<br />

spatial frequency, below. The top portion represents a target used to test a camera/lens combination. It is sharp; its boundaries are<br />

abrupt, not gradual. The bottom portion illustrates the effect of a high quality 35mm lens on a 0.5 millimeter long image of the<br />

pattern (on the film or digital sensor plane). It is blurred. All lenses, even the finest, blur images to some degree. Poor lenses blur<br />

images more than fine ones.<br />

One way to measure sharpness is to use the rise distance of the edge, for example, the distance (in pixels, millimeters, or fraction<br />

of image height) for the pixel level to go from 10% to 90% of its final value. This is called the 10-90% rise distance. Although rise<br />

distance is a good indicator of image sharpness, it has one limitation. It is poorly suited for calculating the sharpness of a complete<br />

imaging system from the sharpness of its components, for example, from a lens, digital sensor, and software sharpening algorithm.<br />

To get around this problem, measurements are made in frequency domain, where frequency is measured in cycles or line<br />

pairs per distance (typically millimeters in film measurements, but may also be inches, pixels, or image height). Line pairs per<br />

millimeter (lp/mm) is the most common spatial frequency unit for film, but cycles/pixel is convenient for digital sensors. The<br />

image below is a sine wave— a pattern of pure tones— that varies from low to high spatial frequencies, in this case from 2 to 200<br />

lp/mm, over a distance of 0.5 millimeters. The top portion is the original sine pattern. The bottom portion illustrates the effects of<br />

the same high quality 35mm lens, which reduces pattern contrast at high spatial frequencies.<br />

The relative contrast at a given spatial frequency (output contrast/input contrast) is called the Modulation Transfer Function<br />

(MTF) or Spatial Frequency Response (SFR).<br />

Illustration of Modulation Transfer Function (MTF)<br />

(Spatial frequency response (SFR) )<br />

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