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Left side of the image has low contrast, the right has higher contrast.
Changes in the amount of contrast in a photo
Contrast is the difference in visual properties that makes an object (or its representation in an image) distinguishable from other objects and the background. In visual perception of the real world, contrast is determined by the difference in the color and brightness of the object and other objects within the same field of view. Because the human visual system is more sensitive to contrast than absolute luminance, we can perceive the world similarly regardless of the huge changes in illumination over the day or from place to place.
The human contrast sensitivity function shows a typical band-pass shape peaking at around 4 cycles per degree with sensitivity dropping off either side of the peak[1]. This tells us that the human visual system is able to detect gratings of 4 cycles per degree at a lower contrast than at any other spatial frequency.
The high-frequency cut-off represents the optical limitations of the visual system's ability to resolve detail and is typically about 60 cycles per degree. The high-frequency cut-off is related to the packing density of the retinal photoreceptor cells: a finer matrix can resolve finer gratings.
The low frequency drop-off is due to lateral inhibition within the retinal ganglion cells. A typical retinal ganglion cell presents a centre region with either excitation or inhibition and a surround region with the opposite sign. By using coarse gratings, the bright bands fall on the inhibitory as well as the excitatory region of the ganglion cell resulting in lateral inhibition and account for the low-frequency drop-off of the human contrast sensitivity function.
For example, in the case of graphical computer displays, contrast depends on the properties of the picture source or file and the properties of the computer display, including its variable settings. For some screens the angle between the screen surface and the observer's line of sight is also important.
Contrast is also the difference between the color or shading of the printed material on a document and the background on which it is printed, for example in optical character recognition.
Formulas
There are many possible definitions of contrast. Some include color; others do not. Travnikova laments, "Such a multiplicity of notions of contrast is extremely inconvenient. It complicates the solution of many applied problems and makes it difficult to compare the results published by different authors."[2]
Various definitions of contrast are used in different situations. Here, luminance contrast is used as an example, but the formulas can also be applied to other physical quantities. In many cases, the definitions of contrast represent a ratio of the type
The rationale behind this is that a small difference is negligible if the average luminance is high, while the same small difference matters if the average luminance is low (see Weber–Fechner law). Below, two of the most common definitions are given.
Weber contrast
The Weber contrast is defined as
with I and Ib representing the luminance of the features and the background luminance, respectively. It is commonly used in cases where small features are present on a large uniform background, i.e. the average luminance is approximately equal to the background luminance.
Michelson contrast
The Michelson contrast[3] is commonly used for patterns where both bright and dark features are equivalent and take up similar fractions of the area. The Michelson contrast is defined as
with Imax and Imin representing the highest and lowest luminance. The denominator represents twice the average of the luminance.
Contrast sensitivity
Contrast sensitivity is a measure of the ability to discern between luminances of different levels in a static image. Contrast sensitivity varies between individuals, maxing out at approximately 20 years of age, and at spatial frequencies of about 2–5 cycles/degree. In addition it can decline with age and also due to other factors such as cataracts and diabetic retinopathy.[4]
See also
References
- ^ Campbell, FW and Robson, JG (1968). Application of Fourier analysis to the visibility of gratings. J. Physiol.
- ^ Travnikova, N. P. (1985). Efficiency of Visual Search. p.4. Mashinostroyeniye.
- ^ Michelson, A. (1927). Studies in Optics. U. of Chicago Press.
- ^ Peter Wenderoth. "The Contrast Sensitivity Function".
External links
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