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  2. Spot the difference - Wikipedia

    en.wikipedia.org/wiki/Spot_the_difference

    Spot the difference games are found in various media including activity books for children, newspapers, and video games.They are a type of puzzle where players must find a set number of differences between two otherwise similar images, whether they are illustrations or photographs that have been altered with photo manipulation.

  3. Visual comparison - Wikipedia

    en.wikipedia.org/wiki/Visual_comparison

    This technique is good for finding edits in graphical images, or for comparing an image with a compressed version to spot artefacts. [3] Visual comparison with a standard chart or reference is often used as a means of measuring complex phenomena such as the weather, sea states or the roughness of a river. [4]

  4. Content-based image retrieval - Wikipedia

    en.wikipedia.org/wiki/Content-based_image_retrieval

    The most common method for comparing two images in content-based image retrieval (typically an example image and an image from the database) is using an image distance measure. An image distance measure compares the similarity of two images in various dimensions such as color, texture, shape, and others. For example, a distance of 0 signifies ...

  5. Similarity measure - Wikipedia

    en.wikipedia.org/wiki/Similarity_measure

    The most common method for comparing two images in content-based image retrieval (typically an example image and an image from the database) is using an image distance measure. An image distance measure compares the similarity of two images in various dimensions such as color, texture, shape, and others.

  6. Structural similarity index measure - Wikipedia

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

    It is also used for measuring the similarity between two images. The SSIM index is a full reference metric; in other words, the measurement or prediction of image quality is based on an initial uncompressed or distortion-free image as reference.

  7. 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.

  8. 6 of the best and 6 of the worst Christmas movies on Netflix ...

    www.aol.com/6-best-6-worst-christmas-120901378.html

    The two groups must work together to save the lodge owned by the soldiers' former commander. Rotten Tomatoes Score: 77%. Why you should watch it: Critics said "White Christmas" is warm and cozy ...

  9. Image subtraction - Wikipedia

    en.wikipedia.org/wiki/Image_subtraction

    Thus, image processing algorithms can make the fixed stars in the background disappear, leaving only the target. [2] Distinct families of astronomical image subtraction techniques have emerged, operating in both image space [ 3 ] [ 4 ] or frequency space, [ 5 ] [ 6 ] with distinct trade-offs in both quality of subtraction and computational cost.