Image interpolation method based on video object and area guidance

Abstract

The invention discloses an image interpolation method basing on a video object and the regional guidance. The particular process follows like that: an original image is divided and the position and the region of an interpolation point are determined; to the interpolation point in the internal of a region, a one-dimensional linear interpolation formula is adopted for the evaluation and a two-dimensional nonlinear interpolation formula is adopted for the evaluation of the interpolation point on other positions when the interpolation point is positioned between two horizontal pixels or two vertical pixels at the original image, to the interpolation points in other positions, the two-dimensional nonlinear interpolation formula is used for the evaluation is evaluated when the interpolation point is positioned neither between the two horizontal pixels of the original image nor between the two vertical pixels of the original image; the obtained values of each pixel point are endowed to the pixel on the position of an interpolation point waiting to be interpolated to finish the image interpolation. The image interpolation method basing on the video object and the regional guidance is applicable to the transforming of the resolution of a video object or a whole image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image interpolation method. The method can obtain relatively high subjective and objective image quality, and at the same time meet the requirements of MPEG-4 based on video objects, and is suitable for video objects or entire image resolution transformations. occasion. Background technique [0002] With the development of information technology, video applications are becoming more and more extensive. Various digital video systems, such as full digital high-definition television and video phones, have different resolution requirements, resulting in many different formats for storage and transmission. And display digital video signals, there are many different commercial standards for video signals for different applications, such as QCIF, NTSC, PAL, and HDTV. [0003] In order to adapt to different network conditions, different display devices and different display me...

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Problems solved by technology

[0021] This kind of method enhances the edge of the high-resolution image, which can improve the edge contrast of the result image of the traditional interpolation method, and obtain a better subjective visual effect; however, the edge of the image enlarged by the traditional method is widened, and it is difficult to detect the edge The exact position of the image, and because the image is filtered, the objective quality of the image will decrease to a certain extent

[0022] Since all the above image interpolation methods are carried out within the entire image range, when the video coding standard MPEG-4 introduces object-based operations, such as content-based retrieval, recognition and other functions, people pay more attention to the video of interest. object, so using the above-mentioned interpolation of the image background and non-interesting video objects within the entire image range will inevitably result in a waste of resources and time

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