On the Role of Localized Relationships in Image Scaling and Interpolation
نویسندگان
چکیده
A new approach to image interpolation using the relationships between adjacent pixels in an image is introduced. In the first stage, the localized relationships are learned from the input image. In the second stage, the relationships and the concluded governing rules are used to build an interpolated image. Our method is compared with the main existing interpolation methods bilinear, bi-cubic and spline for enlargement of images by a factor of 2. The results indicate significant reduction in the blockiness and smoothing effects compared to existing methods. The new method is also applicable to audio signals and for interpolating color imaging of single CCD cameras. Key-Words: Image compression, Image reconstruction, Markov process, Least square method.
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