Margin-oriented self-adaptive image interpolation method and VLSI implementation device thereof

Abstract

The invention discloses a margin-oriented self-adaptive image interpolation method and a VLSI implementation device thereof. The method comprises the steps that the gradient magnitude and the gradient direction of a source image pixel are computed, and marginal information is obtained by comparing the gradient magnitude and a local self-adaptive threshold value, wherein the marginal direction is perpendicular to the gradient direction; the marginal direction is classified, filtering is conducted through the marginal information, and an image is divided into a regular marginal area and a non-marginal area; the regular marginal area interpolation is conducted in the marginal direction, and an improved bicubic interpolation method, a slant bicubic interpolation method and a slant bilinear interpolation method based on local gradient information are adopted to conduct image interpolation according to the classification of the marginal information; image interpolation is conducted on the non-marginal area through the improved bicubic interpolation method based on the local gradient information. The VLSI implementation device comprises a marginal information extraction module, a self-adaptive interpolation module, an input line field synchronous control module and an after-scaling line field synchronous control module. The margin-oriented self-adaptive image interpolation method and the VLSI implementation device of the margin-oriented self-adaptive image interpolation method can effectively improve the effect of image interpolation with high-magnification scaling, and is beneficial to integrated circuit framework achieving.

Description

technical field [0001] The invention belongs to the technical field of digital video image processing and display, and in particular relates to an edge-guided self-adaptive image interpolation method and a VLSI implementation device thereof. Background technique [0002] In a video display system, due to the variety of video source resolutions, the video input signal needs to be processed by image interpolation and scaling before being sent to the flat panel display device for display. The image interpolation scaling unit enlarges or reduces images of different formats and resolutions, making them an image format supported by the display screen. With the continuous improvement of display panel size and resolution, image interpolation scaling technology plays an increasingly important role in video processing systems. Since the performance of image interpolation scaling directly determines the quality of video display, video display systems urgently need high-quality image i...

AI Technical Summary

Problems solved by technology

However, the interpolation calculation considering the edge usually requires complex algorithm processing and more computing resources, which

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