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How does IVK Faux work and illustrate results

When a photograph is edited or digitally enhanced, the modified portions will have a different noise potential compared to the rest of the photograph. Splices, drawing, and significant edits are usually visible as a significantly different noise potential.

Human Observation:
Most of the time modified or computer generated photographs can be identified through human observation. The simplest inspection approach uses human observations to pull information out of the image. Inconsistencies usually suggest weather image is digitally enhanced or computer generated.

Specular highlights and shadows:
Sharp highlights and shadows indicate light direction. When items are merged into one photograph, they may not have the same lighting.

Color tones in anti-aliasing:
Images rarely have sharp, crisp edges. Instead, anti-aliasing techniques blur adjacent color together. When an object is cut out of one photograph and pasted into another, the edges may contain coloring that does not match the new background.

Algorithm: The amount of error introduced by each save is limited to the 8 by 8 blocks used by the compression algorithm of JPEG. However, when an image is (partially) modified, the 8 by 8 blocks containing modification are no longer at the same level of quality as the rest of the unmodified blocks. For each pixel, the luminance value is calculated. Finally, the luminance value of the brightest pixel is used as the qualifier.

IVK Faux Results: The best results from IVK Faux are directly dependent on the quality of image. You may want to know if something was added, but if the photo is a copy of a copy of a copy, then it will be difficult to detect different noise potential.

For instance, many pictures are hosted at Flickr or uploaded on Facebook. Facebook dynamically resize crop images and save them at low quality as compared to the original image whereas Flickr provides small, medium, large, and original images. The small, medium, and large are copied images (resaves) created by Flickr. The "original" is whatever the user sent to Flickr, Facebook or any other website, so the original will be the best quality. Always go for the original source or get as close as you can to the original source to improve the image's quality and the IVK Faux results.

Two easy ways to analyze that the image is not an original are to look at the image size and ascriptions. Most websites add their logo or web URL to a corner of the photograph. That means the original picture was resaved and the last modification was likely the addition of the ascription.

Edits and splices appear as regions with more change. See the tutorial for more detail.

 
 
 
 
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