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A Method of Enhancing Image Resolution Using Convolution Filtering and Antialiasing Analysis

A technology of image enhancement and convolution filtering, applied in the field of image processing, can solve the problems of image aliasing, errors, aliasing, etc., and achieve the effect of strong parallelism

Active Publication Date: 2015-12-09
SHANGHAI JIAO TONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the image after filtering may sometimes appear jagged and aliased, and there may be error points in some places, which makes the effect of the enlarged high-resolution image unsatisfactory.

Method used

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  • A Method of Enhancing Image Resolution Using Convolution Filtering and Antialiasing Analysis
  • A Method of Enhancing Image Resolution Using Convolution Filtering and Antialiasing Analysis
  • A Method of Enhancing Image Resolution Using Convolution Filtering and Antialiasing Analysis

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Embodiment

[0049] like figure 1 As shown, a method for enhancing image resolution using convolution filtering and anti-aliasing analysis, the method includes the following steps:

[0050] Step 1: Preprocess the original image O, increase the image pixels, and obtain the preprocessed image L. The preprocessing is to perform (N-1):N ratio expansion processing on the original picture to increase the pixel points of the picture. If it is a text image, it is processed according to RGB or grayscale linear transformation. For the scanning of text pictures, take α (0≤α≤1), and for single-channel grayscale images, set P B , P W are the gray levels of white and black respectively, then for any point, P=αP can be expressed B +(1-α)P W , take a fixed value α 0 (eg.α 0 -0.5), when α>α 0 , P=P B , otherwise P=P W .

[0051] Step 2: use a downsampling filter to perform downsampling filtering on the preprocessed picture L, and then use an upsampling filter to perform upsampling filtering to o...

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Abstract

The invention relates to a method for enhancing image resolution by convolution filtering and anti-aliasing analyzing. The method includes steps of preprocessing an original image O to obtain a preprocessed imaged L; sequentially carrying out down-sampling filtering processing and up-sampling filtering processing for the preprocessed image by filters to obtain a low-pass portion of the original image O; subtracting the low-pass portion from the original image O to obtain a high-pass portion of the original image O; carrying out self-similarity processing for the preprocessed image L, searching for positions on the preprocessed image L similar to the high-pass portion, and matching high-pass information into the preprocessed image L by mapping relation to obtain a clear image S with pixels the same as those of the preprocessed image L; and judging whether the image S obtained after the self-similarity processing has aliasing or not, and carrying out anti-aliasing edge processing for the image S obtained after the self-similarity processing and the preprocessed image L to obtain a smoother high-definition image R if the image S obtained after the self-similarity processing has the aliasing. Compared with the prior art, the method has the advantages of capability of increasing definition and resolution of the image, high practicality and the like.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a method for enhancing image resolution by using convolution filtering and anti-aliasing analysis. Background technique [0002] Image upsampling and anti-aliasing technology is an important field of image processing technology, which plays a great role in super-resolution. In the past, the poor shooting technology caused many pictures to be blurred and low in resolution. By processing these pictures, the pictures can be restored and enlarged with high fidelity and clarity, so it has a wide range of applications. [0003] After searching the literature of the prior art, it was found that in the "Antialiasing Recovery" paper published in "ACM Transactions on Graphics (Presented at SIGGRAPH2011), Volume 30 Issue 3, Article No. 22", Lei Yang et al. proposed a method based on the original image and the damaged image after nonlinear filtering. Combined methods fo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/00
Inventor 李胜男盛斌林晓李宜凝马利庄
Owner SHANGHAI JIAO TONG UNIV
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