What is a histogram leveling?
The histogram alignment is a relatively simple process of flattening the distribution curve or the storage of balance in distribution. If measurement is a digital translation, this process is a direct computer program. There are many uses for histograms, which is graphical mapping of one variable for a large set of data points. The most common applications in which many people encounter histograms are sound and video, as still movable.
in its most basic, the histogram is a statistical tool for quality control. Usually, the horizontal axis of the graph x is the only variable, let's say a cube from one to six. Vertical Y axis is a simple number or frequency measurement. The cube rolls 100 times and the results are brought into this graph. Surprisingly, numbers two, three, four and five and five appeared 16 times, but the number one appeared only once, while the number six appeared 35 times.
In the above example, the SKEWE SKEWED graph for one and six numbers. The dice are clearly defectiveAnd quality control dictates that it is repaired, say by weight injection. The solid cube rolled again 100 times and the resulting graph shows that all six numbers appear with the same frequency. The histogram has been leveled.
The histogram frequency curve is common and very obvious in sound devices. The expensive radio, possibly a component amplifier, can display a range of digital column charts that dance up and down to music. Low -frequency or bass noise is most measured on the left; The stripes gradually measure high frequencies or heights. Accompanying levers can increase or dampen the specific frequency. If the deep, flourishing bass of the hip-hop rhythm shows the sharp spikes in the column chart, the corresponding lever can be used to insulate and reduce its volume without Afficecting other frequencies.
The displayed audio signal in this example has been considered to be a non -raisingOnce in favor of bass. Leveling the histogram, achieved by reducing the bass volume only, imposed balance and flattened the division of all music frequencies to approach the same volume. The measurement is the only variable, namely sound frequency from low to high. At the moment of time, projects of music projects many frequencies at different volumes and each of these measurements are data points.
One other common application of histogram raising is in digital photography. Typical photography contains millions of data points called pixels. One of the features of quality control of the photograph of many digital camera models is the histogram analysis. It measures a single variable luminescence of each pixel from light to darkness, from white to black. The resulting graphic map is to display the range of photo contrast.
Conventional wisdom of high -quality photogruaph is the one that contains pure white, pure black and each light gradation between them. If he is going to be the exaggerated photographerIE, or one flooded, an overview of his histogram reveals the corresponding increase in the graphic representation. The same applies to losing contrast to insufficiently elaborated, darkened photography. The histogram alignment can be displayed in real time by adjusting the exposure of the shot exposure until the graph shows a more balanced luminescence distribution. Subsequent processing of digital images using a computer program can also have the ability to evaluate and balance color histograms.