Image interpolation method, system and storage medium based on dislocation sampling

An interpolation method and a technology for sampling images, which are applied in graphics and image conversion, image data processing, instruments, etc., can solve problems such as inability to adapt to pixel structures, achieve good objective quality, fast and efficient reconstruction, and improve image storage and transmission efficiency. Effect

Active Publication Date: 2022-02-11
JINAN UNIVERSITY
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the use of image-independent interpolation, their common disadvantage is that they cannot adapt to the pixel structure in different images

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image interpolation method, system and storage medium based on dislocation sampling
  • Image interpolation method, system and storage medium based on dislocation sampling
  • Image interpolation method, system and storage medium based on dislocation sampling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] In this embodiment, the bilinear interpolation method is used to reconstruct the image, such as image 3 shown, including the following steps:

[0064] S1. Perform misplaced sampling on the high-resolution image to obtain a downsampled image, specifically:

[0065] Displaced downsampling of high-resolution images, such as figure 2 as shown, figure 2 The black dots in are the sampling points, divide the image into an image composed of 2×2 pixel blocks, and each block samples one pixel correspondingly, and for the 2×2 pixel blocks in odd rows, take the upper left corner pixel in the block as the sampling point , the 2×2 pixel block in the even row takes the upper right corner pixel in the block as the sampling point.

[0066] S2. Restoring each pixel in the downsampled image to a sampling position corresponding to the original high-resolution image;

[0067] S3. Use the bilinear interpolation method to interpolate and predict the unknown pixels, specifically:

[00...

Embodiment 2

[0080] In this embodiment, the bicubic interpolation method is used to reconstruct the image, such as Figure 6 shown, including the following steps:

[0081] S1. Perform misplaced sampling on the high-resolution image to obtain a downsampled image, specifically:

[0082] Displaced downsampling of high-resolution images, such as figure 2 as shown, figure 2 The black dots in are the sampling points, divide the image into an image composed of 2×2 pixel blocks, and each block samples one pixel correspondingly, and for the 2×2 pixel blocks in odd rows, take the upper left corner pixel in the block as the sampling point , the 2×2 pixel block in the even row takes the upper right corner pixel in the block as the sampling point.

[0083] S2. Restoring each pixel in the downsampled image to the sampling position of the original high-resolution image;

[0084] S3. Use bicubic interpolation method to perform interpolation prediction on unknown pixels, specifically:

[0085] All u...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an image interpolation method, system and storage medium based on dislocation sampling. The method includes the following steps: adopt dislocation down-sampling to the original image; restore each pixel in the down-sampled image to the sampling position of the original image; adopt The bilinear interpolation method or the bicubic interpolation method reconstructs the image; the bilinear interpolation method is divided into two rounds for interpolation, and in the first round, the unknown pixel is performed by three adjacent known pixels using the bilinear interpolation method Prediction, in the second round, the remaining unknown pixels are predicted by four known pixels in the vertical and horizontal directions; the bicubic interpolation method is that the unknown pixels are predicted by 20 adjacent pixels using the bicubic interpolation method; the present invention The bilinear interpolation method and bicubic interpolation method based on dislocation sampling are proposed, compared with the traditional bilinear interpolation and bicubic interpolation based on direct sampling, the sampling model is changed, so that the reconstructed image can get better effect and quality .

Description

technical field [0001] The invention belongs to the technical field of image interpolation, and in particular relates to an image interpolation method, system and storage medium based on misplaced sampling. Background technique [0002] In recent years, interpolation has played an extremely important role in many fields of image processing, and many researchers have made great contributions to the improvement of interpolation algorithms. From the nearest neighbor interpolation method, bilinear interpolation method, bicubic interpolation method to the later edge-based interpolation method and autoregressive interpolation algorithm, etc., the visual effect of the processed image is getting better and better. Many existing image interpolation techniques It was developed at different levels by balancing computational complexity and processing image visual effects. The popular interpolation methods commonly used in image and video software and hardware products are bilinear inte...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40
CPCG06T3/4007G06T3/4023
Inventor 项世军黄明惠
Owner JINAN UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products