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Image interpolation processing method

A processing method and image technology, applied in image data processing, image enhancement, instruments, etc., can solve the problems of image edge overshoot, large gap, etc.

Inactive Publication Date: 2013-04-10
ALTEK CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with the bilinear interpolation method, the edge sharpness effect of the enlarged image using the bicube interpolation method is better, but with the improvement of the edge sharpness, the overshoot phenomenon of the image edge also follows. Increase
In addition, when the magnification is increased, the gap between the enlarged image using the bicube interpolation method and the real optically enlarged image becomes larger and larger.

Method used

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Embodiment Construction

[0037] figure 1 It is a flowchart of an image interpolation processing method shown according to an embodiment of the present invention. Please refer to figure 1 , firstly, as shown in step S110, for the selected area in the original image, use an edge detection method to detect whether there is an edge in the selected area, and determine the edge direction of the edge. figure 2 It is a schematic diagram of selected regions and contour pixels displayed according to an embodiment of the present invention. with figure 1 and figure 2 described as follows:

[0038] The selected area 20 is one of the blocks in the original image, the selected area includes a plurality of original pixel points OP, and a target pixel point DP is bilinearly interpolated by using the original pixel points OP, and the target pixel point DP is, for example, Located in the center of the selected area 20. Next, the edge strength of the selected region 20 can be calculated by using an edge detection...

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Abstract

The invention relates to an image interpolation processing method. The method includes detecting a selected area in a raw image to generate an edge contour line containing a target pixel and a plurality of contour pixels accordingly through an edge detection method; then determining the variation trends of brightness values of the contour pixels on the edge contour line and finding out two extreme points in the contour pixels; determining that the target pixel is located in a transition area or in a non-transition area by using the variation trends of brightness values and the two extreme points; if the target pixel is located in the not-transition area, calculating an interpolation adjusted value based on brightness values of the two extreme points and the brightness value of the target pixel; and performing interpolation processing on the selected area based on the interpolation adjusted value so as to obtain interpolation results of the target pixel.

Description

technical field [0001] The invention relates to an image interpolation processing method, in particular to an image interpolation processing method for enhancing edge effects. Background technique [0002] At present, the methods commonly used for image enlargement can be divided into interpolation method and super-resolution (super-resolution), the method of interpolating and enlarging images. The existing technologies include bilinear interpolation (bilinear interpolation), bicubic interpolation The method (bicubic interpolation) etc. is used to perform various image enlargements on the image. The computational complexity of the super-resolution method is higher than that of the interpolation method, and it often requires a large amount of training sample data to establish a zoom-in model as the basis for predicting the zoom-in of the original image, so more computing time is required. [0003] The bilinear interpolation method is currently widely used. The method is to i...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 黄裕程吴宗达
Owner ALTEK CORP
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