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When you install Eraser and select the option to erase a file or folder, this tool doesn t just delete the item s partition table entry Instead, it overwrites the physical disk space occupied by the file a number of times, to the point where recovering the original data is extremely difficult, if not impossible In its default configuration, Eraser offers four different methods that can be used to overwrite disk space and, thus, erase files: Gutmann This default file erasing method overwrites the disk space used by a file a whopping 35 times US DoD 522022-M (8-306 / E, C and E) This method, named after a US Department of Defense standard, overwrites the disk space used by a file seven times US DoD 522022-M (8-306 / E).

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This method, also named after a US DoD standard, overwrites the disk space used by a file three times Pseudorandom Data This method overwrites the disk space used by a file once In addition to Eraser s default options, you can also define custom erasing settings to meet your own personal needs or preferences..

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requires colorimetrically characterized data for the image (or scene) and surround in absolute luminance units The image is speci ed in terms of relative CIE XYZ tristimulus values The adapting stimulus is a low-pass ltered version of the CIE XYZ image that is also tagged with absolute luminance information necessary to predict the degree of chromatic adaptation The absolute luminances Y of the image data are also used as a second lowpass image to control various luminance-dependent aspects of the model intended to predict the Hunt effect (increase in perceived colorfulness with luminance) and the Stevens effect (increase in perceived image contrast with luminance) Lastly, a low-pass, luminance Y image of signi cantly greater spatial extent is used to control the prediction of image contrast that is wellestablished to be a function of the relative luminance of the surrounding conditions (Bartleson and Breneman equations).

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The speci c low-pass lters used for the adapting images depend on viewing distance and application Additionally, in some image rendering circumstances it might be desirable to have different low-pass adapting images for luminance and chromatic information to avoid desaturation of the rendered images due to local chromatic adaptation This is one example of application dependence in image appearance modeling Local chromatic adaptation might be appropriate for image-difference or image-quality measurements, but inappropriate for image-rendering situations The rst stage of processing in iCAM is to account for chromatic adaptation The chromatic adaptation transform embedded in CIECAM02 has been adopted in iCAM since it was well researched and established to have excellent performance with all available visual data It is also a relatively simple chromatic adaptation model amenable to image-processing applications The chromatic adaptation model, given in Equations 201 20.

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