Video image nonlinearity amplification method based on interest region detection

Abstract

The invention discloses a video image nonlinearity amplification method based on interest region detection which comprises setting an image block in a certain threshold value range as a skin color block, firstly confirming the color block as an interest region, utilizing angular point detection to conduct auxiliary judgment the interest region, confirming the interest region as a linearity amplification region, the redundant regions being non-linearity amplification regions, according to the linearity amplification region place, calculating coordinate value of all interpolating points, calculating a coordinate of a novel interpolating point, according to the coordinate value of the interpolating points, adopting double triple interpolation on the horizontal direction, and adopting double-linearity interpolation on the vertical direction to calculate pixel value of the interpolating points. The method can precisely recognize human regions, can effectively avoid erroneous judging of detailed scenes like an indoor scene, and not only guarantees effect of interpolation, but also reduces difficulty of hardware design.

Description

technical field [0001] The invention relates to a video image processing method. In particular, it relates to a non-linear enlargement method of video images based on region of interest detection. Background technique [0002] HDTV (High Definition Television) is one of the DTV (Digital Television) standards, that is, high-definition digital television. The horizontal resolution and vertical resolution of high-definition TV are more than double that of ordinary TV, which can provide higher video effects. my country's radio and television industry is still in the transition period to digital TV, and video scaling is an important function of video processing chips. In the process of video image scaling, there is still the problem of how to convert the video image of the original normal screen specifications (such as 4:3, 5:4, etc.) to widescreen specifications (such as 16:9, etc.). Due to the change of the aspect ratio of the picture, the scene will be stretched and deforme...

AI Technical Summary

Problems solved by technology

The distance between the interpolation point at the edge is the smallest in the way of arithmetic gradient, which leads to serious deformation of the scene

The change is even and gentle according to the sinusoidal gradual change, but it is more complicated in hardware implementation

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