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A Floating Point Method for Integer Pixel Value Image

A pixel value and image technology, applied in the field of image processing, can solve problems such as information loss, and achieve the effect of lengthening the value range

Active Publication Date: 2021-06-08
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the way the image is stored, a lot of information will be lost after the real world picture is mapped in the image

Method used

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  • A Floating Point Method for Integer Pixel Value Image
  • A Floating Point Method for Integer Pixel Value Image
  • A Floating Point Method for Integer Pixel Value Image

Examples

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Embodiment Construction

[0032] The specific implementation manner of the present invention will be described in detail below in conjunction with the examples.

[0033] The floating-point conversion method for an integer pixel value image comprises the following steps:

[0034] Step 1: Input the coordinates of highlight points in the image (r 0 ,c 0 ) and the image matrix mat, the size of mat is width×height, the highlight point coordinates are determined manually, r represents the row number of the light source point in the mat, c represents the column number of the light source point in the mat; define the light source point as the The position of the strongest light source or the closest point in the image to the light source point;

[0035] Step 2: Calculate the distances from the highlight point to the top, bottom, left, and right boundaries of the image, find the maximum distance and record it as maxR;

[0036] Step 3: Create a zero-floating-point matrix dstMat of size width×height;

[0037]...

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Abstract

The invention discloses a floating-point method for an integer pixel value image, which includes the following steps: Step 1: Input the highlight point coordinates in the image (r 0 ,c 0 ) and the image matrix mat, the size of mat is width×height, the highlight point coordinates are determined manually, r represents the row number of the light source point in the mat, c represents the column number of the light source point in the mat; define the light source point as the The position of the strongest light source or the position of the point closest to the light source point in the image; Step 2: Calculate the distances from the highlight point to the upper, lower, left, and right boundaries of the image, find the maximum distance and record it as maxR; Step 3 : Create a zero-floating-point matrix dstMat whose size is width×height; Step 4: Change the value of column c and row r of dstMat to the value of the highlight point; Step 5: From the highlight point (r 0 ,c 0 ) begins to expand and realize floating-point; the advantage of the present invention is that: the present invention can convert integer pixel values ​​to floating-point with a basis in a picture whose content is the real world.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a floating-point conversion method for an integer pixel value image. Background technique [0002] In real life, human eyes perceive light signals as analog signals, while cameras or cameras discretize light signals in real life and store them as digital signals. There are certain differences in signal capture. Due to the way images are stored, a lot of information will be lost after the images of the real world are mapped into the images. Contents of the invention [0003] In order to overcome the fact that a lot of information will be lost after the picture of the real world is mapped in the image, the present invention provides a floating-point method for an integer pixel value image. This method makes the pixel affect other pixels according to the position of the light source point in the image. Integer image pixel values ​​are floating-point. [0004] Technical...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/005G06T2207/10004
Inventor 高飞李云阳葛一粟葛逸凡卢书芳张元鸣陆佳炜肖刚
Owner ZHEJIANG UNIV OF TECH
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