CN111008942A - Image processing method based on light change - Google Patents
Image processing method based on light change Download PDFInfo
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- CN111008942A CN111008942A CN201911295719.1A CN201911295719A CN111008942A CN 111008942 A CN111008942 A CN 111008942A CN 201911295719 A CN201911295719 A CN 201911295719A CN 111008942 A CN111008942 A CN 111008942A
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- 238000003672 processing method Methods 0.000 title claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 12
- 238000000034 method Methods 0.000 claims abstract description 3
- 239000003086 colorant Substances 0.000 claims description 7
- 238000012544 monitoring process Methods 0.000 description 4
- 238000012805 post-processing Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
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Abstract
The invention discloses an image processing method based on light change, which belongs to the field of video image processing and comprises the steps of selecting a reference chromaticity reference object; acquiring a reference chromaticity reference object image under standard light, and setting a pixel value of the reference chromaticity reference object image as a reference pixel value for storage; storing the position or the shape of a reference chromaticity reference object in a shooting area; shooting at any time except for standard light, and collecting an initial scene image containing a reference object with reference chromaticity under the current light; finding a reference chromaticity reference object according to the position or the specific shape, and calculating the pixel value of the reference chromaticity reference object under the current light; comparing the pixel value of the reference chromaticity reference object under the current light with the stored reference pixel value to obtain a pixel deviation value; and adding each pixel value of the scene initial image and the pixel deviation value, writing the pixel values into each pixel, and restoring the color of the scene at the current moment under the standard light. The method can restore the image color quickly and efficiently.
Description
Technical Field
The invention relates to the field of image processing, in particular to an image processing method based on light ray change.
Background
In life, a CAMERA (CAMERA or WEBCAM), also called a computer CAMERA, a computer eye, an electronic eye, etc., is often used, is a video input device, and is widely applied to video conferences, telemedicine, real-time monitoring, etc. The working principle of the camera is roughly as follows: the scene is projected on the surface of an image sensor through an optical image generated by a LENS (LENS), then converted into an electric signal, converted into a digital image signal through A/D (analog-to-digital conversion), sent to a digital signal processing chip DSP for processing, transmitted to a computer through an interface, processed by software, stored and viewed through a display.
In post-processing of images, a problem often arises in that the light source from which the scene is captured is constantly changing. Such as 24 hours per day, for example, several periods of time, early, middle, and late. In the several time periods, the shot scenery can change along with the illumination, and the scenery image collected by the camera can have color change. Taking a monitoring picture as an example, a camera is fixed, and the color of the collected scene picture is changed in the morning, the middle and the evening: dark in the morning, best at noon, dark at night.
When the color change is applied to face recognition, industrial robot recognition and picture monitoring, the color change under the light change is recorded. When the light changes in the morning and in the evening, the shot scenery cannot show the scenery color under sufficient light in the middle of the day. For example, a pure red bear, under sufficient light at noon, is monitored to take a red picture, and under light at morning and evening, is monitored to take a dark red picture.
The invention aims to apply an image processing method in image post-processing to enable a monitoring picture shot under early and late lights to achieve or approach the color effect of a picture shot by noon lights.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an image processing method based on light ray change.
An image processing method based on light change comprises the following steps:
step 1: selecting a reference chromaticity reference object;
the reference chromaticity reference object comprises a first reference chromaticity reference object and a second reference chromaticity reference object;
the first standard chromaticity reference object has three primary colors of red, blue and green standard, each color is not less than one pixel unit, and the first standard chromaticity reference object can be a physical entity manufactured by printing, hand drawing, carving and other processing modes;
the second reference chromaticity reference object is a plurality of area blocks with colors selected from a scene image under standard light; the standard light is sufficient light predetermined by a user;
step 2: acquiring a reference chromaticity reference object image under standard light, calculating a pixel value of the reference chromaticity reference object under the standard light based on the image color, and setting the value as a reference pixel value for storage;
and step 3: recording and storing the position or the shape of a reference chromaticity reference object in a shooting area;
and 4, step 4: shooting at any time except for standard light, and acquiring an initial scene image containing a reference chromaticity reference object under the current time light;
and 5: finding a reference chromaticity reference object according to the stored position or specific shape of the reference chromaticity reference object, and calculating the pixel value of the reference chromaticity reference object under the current moment light based on the image color of the reference chromaticity reference object under the current moment light;
step 6: comparing the pixel value of the reference chromaticity reference object under the current moment light with the stored reference pixel value to obtain a pixel deviation value;
and 7: calculating the pixel value of the initial image color of the scenery under the current moment light to obtain the pixel value of the initial image color of the scenery under the current moment light;
and 8: and adding each pixel value of the scene initial image under the current moment light and the pixel deviation value, replacing each pixel value of the scene initial image by the obtained added value, writing the pixel value into each pixel to obtain a scene optimized image, and restoring the color of the scene under the standard light at the current moment, namely the standard color.
Has the advantages that: by adopting the image processing method based on light change, when the light changes, the image color under sufficient sunlight can be quickly and efficiently restored in the later processing, and the scene color under the environment with sufficient light can be obtained in the display, namely when the light is dark, the image color under bright light is still displayed.
Drawings
FIG. 1 is a flowchart of an image processing method based on light variation according to the present invention;
FIG. 2 is a flowchart of an image processing method based on light variation according to a first embodiment of the present invention;
FIG. 3 is a flowchart of an image processing method based on light variation according to a second embodiment of the present invention;
FIG. 4 is a flowchart of an image processing method based on light variation according to a third embodiment of the present invention;
fig. 5 is a flowchart of an image processing method based on light change according to a fourth embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The image processing method based on the light change, as shown in fig. 1, includes the following steps:
step 1: selecting a reference chromaticity reference object;
the reference chromaticity reference object comprises a first reference chromaticity reference object and a second reference chromaticity reference object;
the first standard chromaticity reference object has three primary colors of red, blue and green standard, each color is not less than one pixel unit, and the first standard chromaticity reference object can be a physical entity manufactured by printing, hand drawing, carving and other processing modes; the second reference chromaticity reference object is a plurality of area blocks with colors selected from a scene image under standard light;
the standard light is sufficient light predetermined by a user, and the following standard light is used for this purpose and is not described in detail.
Step 2: acquiring a reference chromaticity reference object image under standard light, calculating a pixel value of the reference chromaticity reference object under the standard light based on the image color, and determining the value as a reference pixel value for storage;
and step 3: recording and storing the position or the shape of a reference chromaticity reference object in a shooting area;
and 4, step 4: shooting at any time except for standard light, and acquiring an initial scene image containing a reference chromaticity reference object under the current time light;
and 5: finding a reference chromaticity reference object according to the stored position or shape of the reference chromaticity reference object, and calculating the pixel value of the reference chromaticity reference object under the current moment light based on the image color of the reference chromaticity reference object under the current moment light;
step 6: comparing the pixel value of the reference chromaticity reference object under the current moment light with the stored reference pixel value to obtain a pixel deviation value;
and 7: calculating the pixel value of the initial image color of the scenery under the current moment light to obtain the pixel value of the initial image color of the scenery under the current moment light;
and 8: and adding each pixel value of the scene initial image under the current moment light and the pixel deviation value, replacing each pixel value of the scene initial image by the obtained added value, writing the pixel value into each pixel to obtain a scene optimized image, and restoring the color of the scene under the standard light at the current moment, namely the standard color.
The specific implementation of the invention can be implemented as follows:
embodiment 1:
an image processing method based on light variation, as shown in fig. 1, includes the following steps:
step 1: making a standard chromaticity reference object with unlimited shape;
the standard chromaticity reference object has three primary colors of red, blue and green, each color is not less than one pixel unit, and the standard chromaticity reference object can be a physical entity manufactured by printing, hand drawing, carving and other processing modes; the following reference chromaticity references are used herein and will not be described in detail.
Step 2: acquiring a reference chromaticity reference object image under standard light, calculating a pixel value of the reference chromaticity reference object under the standard light based on the image color, and determining the value as a reference pixel value for storage;
and step 3: fixedly placing a reference chromaticity reference object at any position of a shooting area, and recording and storing the position information;
the reference chromaticity reference object may be placed at any position such as four corners or the center of the imaging area, but is required to be fixed in position.
And 4, step 4: shooting at any time except for standard light, and acquiring a scene image containing a reference chromaticity reference object under the current time light;
and 5: finding a reference chromaticity reference object according to the stored reference chromaticity reference object position, and calculating the pixel value of the reference chromaticity reference object under the current moment light based on the image color of the reference chromaticity reference object under the current moment light;
step 6: comparing the pixel value of the reference chromaticity reference object under the current moment light with the stored reference pixel value to obtain a pixel deviation value;
and 7: calculating the pixel value of the scenery image color under the current moment light to obtain the initial scenery image color pixel value under the current moment light;
and 8: and adding each pixel value of the scene initial image under the current moment light and the pixel deviation value, replacing each pixel value of the scene initial image by the obtained added value, writing the pixel value into each pixel to obtain a scene optimized image, and restoring the color of the scene under the standard light at the current moment, namely the standard color.
Embodiment 2:
an image processing method based on light variation, as shown in fig. 2, includes the following steps:
step 1: making a recognizable standard chromaticity reference object with a specific shape;
the specific shape is any shape which can be identified by a user according to shooting requirements, such as a circle, a square, a trapezoid and the like, and the reference chromaticity reference object is designed into a required arbitrary shape.
Step 2: under standard light, acquiring the color of a reference chromaticity reference object image, calculating the pixel value of the reference chromaticity reference object under the standard light based on the color, and determining the value as the reference pixel value for storage;
and step 3: placing a reference chromaticity reference object in the shooting area;
and 4, step 4: shooting at any time except for standard light, and acquiring a scene image containing a reference chromaticity reference object under the current time light;
and 5: finding a reference chromaticity reference object according to the shape of the stored reference chromaticity reference object, and calculating the pixel value of the reference chromaticity reference object under the current moment light based on the image color of the reference chromaticity reference object under the current moment light;
step 6: comparing the pixel value of the reference chromaticity reference object under the current moment light with the stored reference pixel value to obtain a pixel deviation value;
and 7: calculating the pixel value of the scenery image color under the current moment light to obtain the initial scenery image color pixel value under the current moment light;
and 8: and adding each pixel value of the scene initial image under the current moment light and the pixel deviation value, replacing each pixel value of the scene initial image by the obtained added value, writing the pixel value into each pixel to obtain a scene optimized image, and restoring the color of the scene under the standard light at the current moment, namely the standard color.
Embodiment 3:
an image processing method based on light variation, as shown in fig. 3, includes the following steps:
step 1: under standard light, collecting a scene image;
step 2: selecting a plurality of colored region blocks in the scenery image, calculating the pixel value of each region block based on the image color in each region block under standard light, regarding the pixel value as a reference pixel value, and storing the position of each region block and the reference pixel value;
and step 3: shooting at any time except for standard light, and acquiring an initial image of a scene under the light at the current time;
and 4, step 4: calculating the pixel value of the scenery image under the current moment light based on the scenery image color under the current moment light to obtain the color pixel value of the scenery image under the current moment light;
and 5: respectively finding each region block according to the position of each region block, and comparing the pixel value of each region block under the current moment light with the stored reference pixel value to obtain a pixel deviation value;
step 6: and adding each pixel value of the scene image under the current moment light with the pixel deviation value, replacing each pixel value of the scene image under the current moment light with the obtained added value, writing the pixel value into each pixel to obtain a scene optimized image, and restoring the color of the scene under the standard light at the current moment, namely the standard color.
Embodiment 4:
an image processing method based on light variation, as shown in fig. 4, includes the following steps:
step 1: under standard light, collecting a scene image;
step 2: selecting a plurality of colored region blocks in the scenery image according to different identifiable shapes, calculating the pixel value of each region block based on the image color in each region block under standard light, identifying the pixel value as a reference pixel value, and storing the shape and the reference pixel value of each region block;
and step 3: shooting at any time except for standard light, and acquiring a scene image under the current light;
and 4, step 4: calculating the pixel value of the scenery image under the current moment light based on the scenery image color under the current moment light to obtain the color pixel value of the scenery image under the current moment light;
and 5: finding out each region block according to the shape of each region block, and comparing the pixel value of each region block under the current moment light with the stored reference pixel value to obtain a pixel deviation value;
step 6: and adding each pixel value of the scene image under the current moment light with the pixel deviation value, replacing each pixel value of the scene image under the current moment light with the obtained added value, writing the pixel value into each pixel to obtain a scene optimized image, and restoring the color of the scene under the standard light at the current moment, namely the standard color.
The image processing method based on the light change has the advantages of small calculated amount and quick and convenient processing process. The image processing method based on light change can reduce the difficulty of digital processing in the middle and later period of application such as facial vision recognition acquisition, industrial robot vision acquisition, environment video acquisition and the like, reduce the resource consumption of a processor system, improve the processing speed and the like.
Claims (1)
1. An image processing method based on light change is characterized in that: the method comprises the following steps:
step 1: selecting a reference chromaticity reference object;
the reference chromaticity reference object comprises a first reference chromaticity reference object and a second reference chromaticity reference object;
the first standard chromaticity reference object has three primary colors of red, blue and green standard, each color is not less than one pixel unit, and the first standard chromaticity reference object can be a physical entity manufactured by printing, hand drawing, carving and other processing modes;
the second reference chromaticity reference object is a plurality of area blocks with colors selected from a scene image under standard light; the standard light is sufficient light predetermined by a user;
step 2: acquiring a reference chromaticity reference object image under standard light, calculating a pixel value of the reference chromaticity reference object under the standard light based on the image color, and storing the value as a reference pixel value;
and step 3: recording and storing the position or the shape of a reference chromaticity reference object in a shooting area;
and 4, step 4: shooting at any time except for standard light, and acquiring an initial scene image containing a reference chromaticity reference object under the current time light;
and 5: finding a reference chromaticity reference object according to the stored position or shape of the reference chromaticity reference object, and calculating the pixel value of the reference chromaticity reference object under the current moment light based on the image color of the reference chromaticity reference object under the current moment light;
step 6: comparing the pixel value of the reference chromaticity reference object under the current moment light with the stored reference pixel value to obtain a pixel deviation value;
and 7: calculating the pixel value of the initial image color of the scenery under the current moment light to obtain the pixel value of the initial image color of the scenery under the current moment light;
and 8: and adding each pixel value of the scene initial image under the current moment light and the pixel deviation value, replacing each pixel value of the scene initial image by the obtained added value, writing the pixel value into each pixel to obtain a scene optimized image, and restoring the color of the scene under the standard light at the current moment, namely the standard color.
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Application publication date: 20200414 |