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An image histogram is a type of histogram that acts as a graphical representation of the tonal distribution in a digital image. [1] It plots the number of pixels for each tonal value. By looking at the histogram for a specific image a viewer will be able to judge the entire tonal distribution at a glance.
The Zone System is a photographic technique for determining optimal film exposure and development, formulated by Ansel Adams and Fred Archer. [1] Adams described the Zone System as "[...] not an invention of mine; it is a codification of the principles of sensitometry, worked out by Fred Archer and myself at the Art Center School in Los Angeles, around 1939–40."
A complication to using ETTR with higher DR is the fact that the vast majority of photographic cameras can only display a histogram produced by its JPG processing engine. In-camera JPG engines tend to have a narrowed DR than the sensor and does not faithfully represent the underlying raw data.
Histogram differences (HD). Histogram differences is very similar to Sum of absolute differences. The difference is that HD computes the difference between the histograms of two consecutive frames; a histogram is a table that contains for each color within a frame the number of pixels that are shaded in that color.
Histogram-based methods are very efficient compared to other image segmentation methods because they typically require only one pass through the pixels. In this technique, a histogram is computed from all of the pixels in the image, and the peaks and valleys in the histogram are used to locate the clusters in the image. [1]
Color histograms are flexible constructs that can be built from images in various color spaces, whether RGB, rg chromaticity or any other color space of any dimension. A histogram of an image is produced first by discretization of the colors in the image into a number of bins, and counting the number of image pixels in each bin.
UniWB is an approach of modifying the default camera rendering so that the in-camera histogram becomes a good approximation of the raw histogram in the highlights range, unfortunately resulting in odd greenish JPGs. Several new cameras sport a "flat" (low contrast) rendering mode intended for capture of a wider DR (the resulting images tend to ...
Example image exhibiting blown-out highlights. Top: original image, bottom: blown-out areas marked red. In digital photography and digital video, clipping is a result of capturing or processing an image where the intensity in a certain area falls outside the minimum and maximum intensity which can be represented.