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  2. Autostereogram - Wikipedia

    en.wikipedia.org/wiki/Autostereogram

    When the single 2D image is viewed with proper eye convergence, it causes the brain to fuse different patterns perceived by the two eyes into a virtual 3D image without, hidden within the 2D image, the aid of any optical equipment. SIS images are created using a repeating pattern. [18] [29] Programs for their creation include Mathematica. [30] [31]

  3. Template matching - Wikipedia

    en.wikipedia.org/wiki/Template_matching

    Template matching [1] is a technique in digital image processing for finding small parts of an image which match a template image. It can be used for quality control in manufacturing, [2] navigation of mobile robots, [3] or edge detection in images.

  4. Image noise - Wikipedia

    en.wikipedia.org/wiki/Image_noise

    An image affected by periodic noise will look like a repeating pattern has been added on top of the original image. In the frequency domain , this type of noise can be seen as discrete spikes. Significant reduction of this noise can be achieved by applying notch filter s in the frequency domain. [ 7 ]

  5. Ambigram - Wikipedia

    en.wikipedia.org/wiki/Ambigram

    When a word is turned upside down, the top halves of the letters turn into the bottom halves. And because our eyes pay attention primarily to the top halves of letters when we read, that means that you can essentially chop off the top half of a word, turn it upside down, and glue it to itself to make an ambigram.

  6. Dither - Wikipedia

    en.wikipedia.org/wiki/Dither

    Rather than predictably rounding up or down in a repeating pattern, it is possible to round up or down in a random pattern. If a series of random numbers between 0.0 and 0.9 (ex: 0.6, 0.1, 0.3, 0.6, 0.9, etc.) is generated and added to the 4.8, two times out of ten the result will truncate back to 4 (if 0.0 or 0.1 are added to 4.8) and eight ...

  7. Comparison gallery of image scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Comparison_gallery_of...

    It will however deform the shape significantly, which in many cases creates a very appealing result. However it will create an effect similar to posterization by grouping together local areas into a single colour. It will also remove small details if in-between larger ones which connect together. The example images use 4xBRZ and 2xBRZ respectively.