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Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.
If the user has ignored the request or responded to the message without performing the removal(s), place another uniquely crafted message on their talk page explaining why the removals must be done. Again, monitor user's contributions, talk page, and userpage in question to see if the user has made the changes, responded to the request on talk ...
By modifying the compressed data directly without decoding and re-encoding, some editing of lossily compressed files without degradation of quality is possible. Editing which reduces the file size as if it had been compressed to a greater degree, but without more loss than this, is sometimes also possible.
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The goal of these methods, especially MBOBHE, is to improve the contrast without producing brightness mean-shift and detail loss artifacts by modifying the HE algorithm. [ 1 ] A signal transform equivalent to histogram equalization also seems to happen in biological neural networks so as to maximize the output firing rate of the neuron as a ...
It also supports implementing graphical effects on visual elements, such as HLSL pixel shaders and built-in effects such as blurs and drop shadows. [10] [11] WPF mainly relies on vector graphics, which allows most controls and elements to be scaled without loss in quality or pixelization. [12] [13]
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