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Image editors have provisions to simultaneously change the contrast of images and brighten or darken the image. Underexposed images can often be improved by using this feature. Recent advances have allowed more intelligent exposure correction whereby only pixels below a particular luminosity threshold are brightened, thereby brightening ...
Slideshow applications usually offer the following functions: image editing (including photo enhancement, cropping, brightness & contrast settings, photo vintage effects), special animation effects (Ken Burns Effects, rotation, 3D flips), transitions, a collection of pre-designed images (), background music soundtrack, opening and closing titles, voice-over recording, text captions, etc.
The Luminosity mode is commonly used for image sharpening, because human vision is much more sensitive to fine-scale lightness contrast than color contrast. (See Contrast (vision) ) Few editors other than Photoshop implement this same color space for their analogs of these blend modes. [ 3 ]
Because the program does not focus on image editing, the only adjustments present are Brightness/Contrast and Hue/Saturation, and therefore no support of level editing, channel extraction, etc. Users may use another program for more complex editing, but when the image is brought back to SAI, its properties may be changed.
Graphics card and monitor contrast and brightness have an influence on effective gamma, and should not be changed after gamma correction is completed. The top two bars of the test image help to set correct contrast and brightness values. There are eight three-digit numbers in each bar.
The maximum contrast of an image is termed the contrast ratio or dynamic range. In images where the contrast ratio approaches the maximum possible for the medium, there is a conservation of contrast. In such cases, increasing contrast in certain parts of the image will necessarily result in a decrease in contrast elsewhere.
The "luminance contrast" is the ratio between the higher luminance, L H, and the lower luminance, L L, that define the feature to be detected.This ratio, often called contrast ratio, CR, (actually being a luminance ratio), is often used for high luminances and for specification of the contrast of electronic visual display devices.
Improvements in picture brightness and contrast can thus be obtained. In the field of computer vision, image histograms can be useful tools for thresholding. Because the information contained in the graph is a representation of pixel distribution as a function of tonal variation, image histograms can be analyzed for peaks and/or valleys.