IMAGE INTERPOLATION METHOD AND DEVICE BASED ON AUTOREGRESSIVE MODEL

摘要

An image interpolation method and device based on an autoregressive model. The method first, interpolating a low-resolution image up to a target scale to obtain an interpolated image M; determining a local area W in the image M to be interpolated, establishing two autoregressive models for each pixel point in the local area W except for the edge pixel points, and determining an initial objective function F0 according to the autoregressive models; down sampling the local area W except for the edge pixel points to the same size as the low-resolution image to obtain a local area W′, subtracting a corresponding area in the low-resolution image from W′ one pixel value by one pixel value, and adding the result to the initial objective function F0 to obtain an objective function F; performing iteration on the objective function F to obtain a pixel point value of a center block of W.

主权项

1. An image interpolation method based on autoregressive models, comprising the following steps:
(1) up interpolating a low resolution image to a target scale to obtain an up-interpolated image M; (2) determining a local area W to be interpolated in the image M, establishing two autoregressive models, a horizontally perpendicular autoregressive model and a 45 degree diagonal autoregressive model, for each pixel point in the local area W except for the edge pixel points, and determining an initial objective function F0 according to the autoregressive models; (3) down sampling the local area W except for the edge pixel points to the same size as that of the low-resolution image, so as to obtain a local area W′, subtracting a corresponding area in the low-resolution image from the local area W′ on the basis of each pixel and adding the result to the initial objective function F0, so as to obtain an objective function F; (4) solving the objective function F iteratively, so as to obtain pixel values of a center block of the local area W.