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2. Ambiguous image - Wikipedia

   en.wikipedia.org/wiki/Ambiguous_image

   The rule of similarity states that images that are similar to each other can be grouped together as being the same type of object or part of the same object. Therefore, the more similar two images or objects are, the more likely it will be that they can be grouped together. For example, two squares among many circles will be grouped together.

3. Rabbit–duck illusion - Wikipedia

   en.wikipedia.org/wiki/Rabbit–duck_illusion

   A standard test of creativity is to list as many novel uses as one can for an everyday object (e.g., a paper clip) in a limited time. Wiseman et al. found that participants who easily could see the image as either a rabbit or duck came up with an average of about 5 novel uses for their everyday item, while those who could not flip between ...

4. List of optical illusions - Wikipedia

   en.wikipedia.org/wiki/List_of_optical_illusions

   Ambiguous image: These are images that can form two separate pictures. For example, the image shown forms a rabbit and a duck. Ambigram: A calligraphic design that has multiple or symmetric interpretations. Ames room illusion An Ames room is a distorted room that is used to create a visual illusion. Ames trapezoid window illusion

5. Optical illusion - Wikipedia

   en.wikipedia.org/wiki/Optical_illusion

   Ambiguous illusions are pictures or objects that elicit a perceptual "switch" between the alternative interpretations. The Necker cube is a well-known example; other instances are the Rubin vase and the "squircle", based on Kokichi Sugihara 's ambiguous cylinder illusion.

6. Shepard elephant - Wikipedia

   en.wikipedia.org/wiki/Shepard_elephant

   The modified elephant has an extra hind leg, with foot attached, made by extending the curved line that Shepard left ambiguous (to look like either the top of a leg or the end of a tail.) This modified image, which now has four legs but five feet, was circulated as "How many legs does this elephant have?"

7. Structural similarity index measure - Wikipedia

   en.wikipedia.org/wiki/Structural_similarity...

   In order to evaluate the image quality, this formula is usually applied only on luma, although it may also be applied on color (e.g., RGB) values or chromatic (e.g. YCbCr) values. The resultant SSIM index is a decimal value between -1 and 1, where 1 indicates perfect similarity, 0 indicates no similarity, and -1 indicates perfect anti-correlation.