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  2. Comparison gallery of image scaling algorithms - Wikipedia

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

    Examples of algorithms for this task include New Edge-Directed Interpolation (NEDI), [1] [2] Edge-Guided Image Interpolation (EGGI), [3] Iterative Curvature-Based Interpolation (ICBI), [citation needed] and Directional Cubic Convolution Interpolation (DCCI). [4] A study found that DCCI had the best scores in PSNR and SSIM on a series of test ...

  3. Heterogeneous earliest finish time - Wikipedia

    en.wikipedia.org/wiki/Heterogeneous_Earliest...

    But in complex situations it can easily fail to find the optimal scheduling. HEFT is essentially a greedy algorithm and incapable of making short-term sacrifices for long term benefits. Some improved algorithms based on HEFT look ahead to better estimate the quality of a scheduling decision can be used to trade run-time for scheduling performance.

  4. Connected-component labeling - Wikipedia

    en.wikipedia.org/wiki/Connected-component_labeling

    Connected-component labeling (CCL), connected-component analysis (CCA), blob extraction, region labeling, blob discovery, or region extraction is an algorithmic application of graph theory, where subsets of connected components are uniquely labeled based on a given heuristic.

  5. Graph cuts in computer vision - Wikipedia

    en.wikipedia.org/wiki/Graph_cuts_in_computer_vision

    The foundational theory of graph cuts was first applied in computer vision in the seminal paper by Greig, Porteous and Seheult [3] of Durham University.Allan Seheult and Bruce Porteous were members of Durham's lauded statistics group of the time, led by Julian Besag and Peter Green, with the optimisation expert Margaret Greig notable as the first ever female member of staff of the Durham ...

  6. Image moment - Wikipedia

    en.wikipedia.org/wiki/Image_moment

    In image processing, computer vision and related fields, an image moment is a certain particular weighted average of the image pixels' intensities, or a function of such moments, usually chosen to have some attractive property or interpretation. Image moments are useful to describe objects after segmentation.

  7. Iterative reconstruction - Wikipedia

    en.wikipedia.org/wiki/Iterative_reconstruction

    There are typically five components to statistical iterative image reconstruction algorithms, e.g. [3] An object model that expresses the unknown continuous-space function () that is to be reconstructed in terms of a finite series with unknown coefficients that must be estimated from the data.

  8. Haar-like feature - Wikipedia

    en.wikipedia.org/wiki/Haar-like_feature

    In the detection phase of the Viola–Jones object detection framework, a window of the target size is moved over the input image, and for each subsection of the image the Haar-like feature is calculated. This difference is then compared to a learned threshold that separates non-objects from objects.

  9. Heejin - Wikipedia

    en.wikipedia.org/wiki/Heejin

    Jeon Hee-jin (Korean: 전희진, Korean pronunciation: [tɕʌn çidʑin]; born October 19, 2000), known mononymously as Heejin (occasionally stylized as HeeJin) is a South Korean singer. She is a member of Loona , its sub-unit Loona 1/3 , and Artms .