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2. Portrait Professional - Wikipedia

   en.wikipedia.org/wiki/Portrait_Professional

   Portrait Professional or PortraitPro is a portrait photography retouching software developed by Anthropics Technology and initially released in 2006. It automates the photo editing process with algorithms that manipulate facial features, remove skin imperfections, alter colors and tone, replace the background, and so on. [ 1 ]

3. Foreground detection - Wikipedia

   en.wikipedia.org/wiki/Foreground_detection

   A motion detection algorithm begins with the segmentation part where foreground or moving objects are segmented from the background. The simplest way to implement this is to take an image as background and take the frames obtained at the time t, denoted by I(t) to compare with the background image denoted by B.

4. Image editing - Wikipedia

   en.wikipedia.org/wiki/Image_editing

   The background image is used as the bottom layer, and the image with parts to be added are placed in a layer above that. Using an image layer mask , all but the parts to be merged is hidden from the layer, giving the impression that these parts have been added to the background layer.

5. Millions hurt by credit repair firms to share $1.8 billion in ...

   www.aol.com/millions-hurt-credit-repair-1...

   More than 4 million Americans gouged by credit repair companies including Lexington Law and CreditRepair.com will soon collectively receive $1.8 billion in refund checks, the Consumer Financial ...

6. General Motors recalls nearly 80,000 over transmission safety ...

   www.aol.com/general-motors-recalls-nearly-80...

   General Motors (GM) is recalling nearly 80,000 vehicles due to a safety issue with the transmission.. The recall involves some 2022-2023 Chevrolet Express and GMC Savana vehicles, the National ...

7. Random walker algorithm - Wikipedia

   en.wikipedia.org/wiki/Random_walker_algorithm

   The random walker algorithm is an algorithm for image segmentation. In the first description of the algorithm, [1] a user interactively labels a small number of pixels with known labels (called seeds), e.g., "object" and "background". The unlabeled pixels are each imagined to release a random walker, and the probability is computed that each ...