This chapter discusses a few selected adaptive interpolation methods known as the edge‐directed interpolation (EDI), which are considered to be the class of image interpolation method that can preserve the edge structure with high visual quality. It focuses on the EDI methods that classify pixels into edge or non‐edge type by comparing the relative intensity or frequency variation with its neighboring pixels. The Canny edge interpolation (CEI) is well received as a simple and efficient image interpolation method. The most basic de‐interlacing methods among the many of its varieties is edge‐based line averaging (ELA). The ELA can be divided into two steps: edge estimation and interpolation. The directional‐orientation interpolation (DOI) is a variation of the ELA method aiming to achieve higher accuracy and finer resolution in edge detection. The error‐amended sharp edge (EASE) method extends the structural correlation measurement to four directions to obtain more accurate edge information for image interpolation.
Edge‐Directed Interpolation
Digital Image Interpolation in MATLAB® ; 191-209
2019-02-19
19 pages
Article/Chapter (Book)
Electronic Resource
English
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