CN112686808B - Method and device for correcting spiral line of light processing image - Google Patents
Method and device for correcting spiral line of light processing image Download PDFInfo
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Abstract
The invention discloses a method and a device for correcting a helix of an optical processing image, wherein the method comprises the steps of obtaining an original image, judging whether the original image needs to be rotated or not, and rotating the original image when the original image needs to be rotated; performing stripe segmentation on an original image to obtain a plurality of original stripe images, performing block segmentation on each original stripe image to obtain a plurality of original block images, and recalculating coordinates of pixel points in each original block image to obtain an optical processing image; judging whether the light processing image accords with the specification, when the light processing image accords with the specification, carrying out stripe segmentation on the light processing image to obtain a plurality of light processing stripe images, carrying out block segmentation on each light processing stripe image to obtain a plurality of light processing block images, and carrying out light processing on each light processing block image in the light source moving direction. The invention can perform spiral line correction on the light processing image, and improves the quality of the light processing image.
Description
Technical Field
The invention relates to the technical field of light processing, in particular to a method and a device for correcting a spiral line of a light processing image.
Background
CTP (Computer to Plate, direct plate making) equipment is a light processing equipment employing a light source close-packed technology, and is generally classified into three types: the most used internal drum CTP devices and external drum CTP devices are those used for the platform CTP devices, and the light source close-packed technique herein generally refers to a structure in which a plurality of light sources are arranged in one row or a plurality of rows, and an imaging light spot finally formed by the structure is in a straight line, and a strip-shaped light treatment image is generated during light treatment.
As shown in fig. 1, the inner drum CTP device and the outer drum CTP device include a drum a, a light processing mechanism b, a driving mechanism c that drives the light source to move, and the like. During the light treatment, the drum a rotates continuously along the drum rotation direction d shown in fig. 1, and the driving mechanism c drives the light treatment machine b to move along the light source moving direction e shown in fig. 1 so as to perform the light treatment on the medium f on the drum a. Taking CTP equipment as an example, 96-way light source is adopted to explain the working principle of CTP equipment in detail. In the CTP device, the light processing mechanism b adopts 96 paths of light sources and adopts a light source close-packed technology for arrangement, and the distance between two adjacent paths of light sources is 0.01mm. In the case of the light processing, the light processing means b performs light processing on the medium f on the drum a with a width of 0.96mm as one stripe, and at the same time, the driving means c performs stepping with a width of 0.96mm to drive the light processing means b to move in the direction of the movement of the light source as shown in fig. 1 so as to perform the light processing imaging of the current stripe, and finally, a light processing image composed of a plurality of stripes is formed. However, in the light processing process, since the drum is continuously rotated, the whole strip-shaped light processing image formed finally is spiral, that is, the light processing starting point and the light processing end point on the drum are offset in the vertical and horizontal directions, and the offset distance is the width of one strip, so that the actual printing effect is affected.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method and a device for correcting a helix of a light processing image, which can correct the light processing image and avoid the deviation of the light processing image.
In order to achieve the above purpose, the present invention proposes the following technical scheme: a method of helix correction for a light-processed image, the method comprising
S100, acquiring an original image, judging whether the original image needs to be rotated or not, and rotating the original image when the original image needs to be rotated, otherwise, directly executing the step S200;
s200, performing stripe segmentation on an original image to obtain a plurality of original stripe images, further performing block segmentation on each original stripe image to obtain a plurality of original block images, and recalculating coordinates of pixel points in each original block image according to the following coordinate formula to obtain an optical processing image:
{d+(Q-1)+Col，c+Row}，
wherein d is the light processing start position in the light source moving direction, col is the column coordinate of the current pixel point, c is the light processing start position in the drum rotating direction, row is the Row coordinate of the current pixel point, and Q is the number of the original block image;
s300, judging whether the light processing image meets the specification or not, and generating an alarm prompt when the light processing image does not meet the specification, otherwise, directly executing the step S400;
and S400, performing stripe segmentation on the light processing image to obtain a plurality of light processing stripe images, further performing block segmentation on each light processing stripe image to obtain a plurality of light processing block images, and performing light processing on each light processing block image in the light source moving direction.
Preferably, in step S200, the original stripe image is obtained according to the following steps:
calculating the width of each strip according to the number of the light sources and the distance between two adjacent light sources;
the original image is divided according to the width of each stripe, and a plurality of original stripe images are obtained.
Preferably, in step S200, the original block image is obtained according to the following steps:
determining the number of block divisions according to the number of light sources;
acquiring the light processing length and the width of a single pixel point, and calculating the number of pixel rows required by each block according to the following formula:
the number of pixel rows required per block = light processing length/width of single pixel point/number of block divisions;
the original stripe image is segmented according to the number of pixel rows required for each block, and a plurality of original block images are obtained.
Preferably, in step S400, the light processing stripe image is obtained according to the following steps:
calculating the width of each strip according to the number of the light sources and the distance between two adjacent light sources;
the light processing image is divided according to the width of each stripe, and a plurality of light processing stripe images are obtained.
Preferably, in step S400, the light processing block image is obtained according to the following steps:
determining the number of block divisions according to the number of light sources;
acquiring the light processing length and the width of a single pixel point, and calculating the number of pixel rows required by each block according to the following formula:
the number of pixel rows required per block = light processing length/width of single pixel point/number of block divisions;
the light processing stripe image is divided according to the number of pixel rows required for each block, and a plurality of light processing block images are obtained.
The invention also discloses a device for correcting the helix of the light processing image, which comprises
The image acquisition module is used for acquiring an original image, judging whether the original image needs to be rotated or not, and rotating the original image when the original image needs to be rotated;
the image preprocessing module is used for carrying out stripe segmentation on the original image to obtain a plurality of original stripe images, further carrying out block segmentation on each original stripe image to obtain a plurality of original block images, and carrying out recalculation on coordinates of pixel points in each original block image according to the following coordinate formula to obtain an optical processing image:
{d+(Q-1)+Col，c+Row}，
wherein d is the light processing start position in the light source moving direction, col is the column coordinate of the current pixel point, c is the light processing start position in the drum rotating direction, row is the Row coordinate of the current pixel point, and Q is the number of the original block image;
the judging module is used for judging whether the light processing image accords with the specification;
the light processing module is used for carrying out stripe segmentation on the light processing image when the judging module judges that the light processing image meets the specification, so as to obtain a plurality of light processing stripe images, further carrying out block segmentation on each light processing stripe image, so as to obtain a plurality of light processing block images, and carrying out light processing on each light processing block image in the light source moving direction.
Preferably, the image preprocessing module comprises an original stripe image generation module, and the original stripe image generation module comprises
The first strip width calculation module is used for calculating the width of each strip according to the number of the light sources and the distance between two adjacent light sources;
the first strip segmentation module is used for segmenting the original image according to the width of each strip to obtain a plurality of original strip images.
Preferably, the image preprocessing module comprises an original block image generating module, and the original block image generating module comprises
A first number determining module for determining the number of block divisions according to the number of light sources;
the first pixel row calculating module is used for acquiring the light processing length and the width of a single pixel point and calculating the number of pixel rows required by each block according to the following formula:
the number of pixel rows required per block = light processing length/width of single pixel point/number of block divisions;
the first block segmentation module is used for segmenting the original stripe image according to the number of pixel rows required by each block to obtain a plurality of original block images.
Preferably, the light processing module comprises a light processing strip image generation module, the light processing strip image generation module comprising
The second strip width calculation module is used for calculating the width of each strip according to the number of the light sources and the distance between two adjacent light sources;
and the second strip segmentation module is used for segmenting the light processing image according to the width of each strip to obtain a plurality of light processing strip images.
Preferably, the light processing module includes a light processing block image generation module including
A second number determining module for determining the number of block divisions according to the number of light sources;
the second pixel row calculating module is used for acquiring the light processing length and the width of a single pixel point and calculating the number of pixel rows required by each block according to the following formula:
the number of pixel rows required per block = light processing length/width of single pixel point/number of block divisions;
and the second block segmentation module is used for segmenting the light processing strip image according to the number of pixel rows required by each block to obtain a plurality of light processing block images.
The beneficial effects of the invention are as follows:
the invention carries out stripe segmentation and block segmentation processing on the original image, and translates a pixel point between each block image to carry out spiral line compensation, thus obtaining the light processing image processed by the light processing equipment, further carries out stripe segmentation and block segmentation processing on the light processing image, and carries out corresponding processing on each block image in the moving direction of the light source, thereby realizing the spiral line correction of the light processing image, avoiding the problem of image deviation and improving the quality of the light processing image.
Drawings
FIG. 1 is a schematic diagram of a CTP device;
FIG. 2 is a flow chart diagram of a method of helix correction for light-processed images of the present invention;
FIG. 3 is a flow chart diagram of a method of helix correction for light-processed images of the present invention;
FIG. 4 is a schematic view of the original image stripe segmentation of the present invention;
FIG. 5 is a block image translation and coordinate calculation schematic diagram of the present invention;
FIG. 6 is a schematic illustration of a stripe segmentation of a light-processed image in accordance with the present invention;
fig. 7 is a schematic block diagram of a light-processing image spiral correction device of the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.
In this embodiment, an external drum type CTP device is taken as an example, and a method for processing a spliced seam of an optical processing image disclosed in the present invention will be described in detail.
Referring to fig. 2 and 3, the method for correcting the spiral line of the light processing image disclosed by the invention comprises the following steps:
s100, acquiring an original image, judging whether the original image needs to be rotated or not, and rotating the original image when the original image needs to be rotated, otherwise, directly executing the next step;
specifically, the original image records image data to be subjected to optical processing by the optical processing device, and the optical processing device can form corresponding images on the medium according to the image data, however, some original images have inclination problems, so that corresponding images finally formed on the medium have inclination problems, and the imaging quality of optical processing is affected, so that the original image is judged whether to need to be subjected to rotation processing or not after being acquired, and corresponding rotation is performed when the rotation processing is needed, so that the inclination problem of the images formed on the medium is avoided. When the original image is implemented by the rotation processing software in the upper computer, the original image with the format of TIFF (Tag Image File Format ) can be transmitted to the upper computer in a wired or wireless mode, and the rotation processing software further performs the rotation processing on the original image.
S200, performing stripe segmentation on an original image to obtain a plurality of original stripe images, further performing block segmentation on each original stripe image to obtain a plurality of original block images, and recalculating coordinates of pixel points in each original block image according to the following coordinate formula to obtain an optical processing image:
{ d+ (Q-1) +Col, c+Row }, wherein d is the light processing start position in the light source moving direction, col is the column coordinate of the current pixel point, c is the light processing start position in the drum rotating direction, row is the Row coordinate of the current pixel point, and Q is the number of the original block image;
specifically, the width of the strip formed by the light treatment device is closely related to the number of light sources in the light treatment device, and the external drum type CTP device comprises 96 paths of light sources, wherein 96 paths of light sources are arranged by adopting a light source close-packed technology, the distance between two adjacent paths of light sources is 0.01mm, and when the medium is subjected to light treatment, the external drum type CTP device finally forms a plurality of strip images with the width of 0.96mm, wherein the strip images refer to strip-shaped images. After determining the width of each band, a band division process may be performed on the original image. In implementation, after the width of each stripe is calculated according to the number of light sources, the original image is divided according to the width of each stripe, so as to obtain a plurality of original stripe images, as shown in fig. 4.
When a plurality of original stripe images are obtained, block segmentation processing is further performed on each original stripe image, and a plurality of original block images are obtained. In practice, the block segmentation process is performed on each slice image by:
first, the number of block divisions is determined according to the number of light sources, i.e. how many blocks each stripe needs to be divided into. In practice, the light treatment device comprises a plurality of light sources, so that each strip is divided into a plurality of blocks, and if the light treatment device comprises 96 light sources, each strip is divided into 96 blocks;
secondly, acquiring the light processing length and the width of a single pixel point, and calculating the number of pixel rows required by each block according to the following formula:
the number of pixel rows required per block = light processing length/width of individual pixel points/number of block divisions,
if the light processing length is 1080mm, and the width of each pixel point is 0.01mm at 2540DPI resolution, the number of required pixel rows per block is 1080000um/10 um/96=1125, that is, 1125 rows of pixels per block are required.
Finally, the original stripe image is segmented according to the number of pixel rows required by each block, and a plurality of original block images are obtained.
As shown in fig. 5, after each original stripe image is divided into a plurality of original block images, the coordinates of the pixel points in each original block image are recalculated according to the above formula, as shown in fig. 5, the coordinates of the pixel point a after the recalculation are {0+d+95,0+c }, the coordinates of the pixel point B after the recalculation are {0+d+0, c+95×1125}, so that in each original stripe image, any one original block image except the first original block image is shifted by a distance of Q-1 pixel points in the light source shifting direction according to the light source shifting direction, so as to perform spiral line compensation processing, Q represents the number of the original block image, as in the first stripe, starting from the second original block image, the second original block image is shifted to the right by a distance of one pixel point, the third original block image is shifted to the right by a distance of two pixel points, and so on, and finally the light processing image as shown in fig. 6 is formed.
S300, judging whether the light processing image meets the specification or not, and generating an alarm prompt when the light processing image does not meet the specification, otherwise, directly executing the next step;
specifically, the light-processed image obtained after the original image is processed may have problems such as an out-of-specification electrical property, an out-of-range size of the light-processed image, and the like. When judging that the light processing image has the problem of non-conforming to the specification, generating an alarm prompt, such as generating a graphic size error alarm and the like; and when the light processing image meets the specification, the next processing is directly carried out.
And S400, performing stripe segmentation on the light processing image to obtain a plurality of light processing stripe images, further performing block segmentation on each light processing stripe image to obtain a plurality of light processing block images, and performing light processing on each light processing block image in the light source moving direction.
Specifically, the method for performing stripe segmentation on the light processing image is the same as the method for performing stripe segmentation on the original image, and will not be described in detail herein. When a plurality of light processing stripe images are obtained, block division processing is further performed on each light processing stripe image, and a plurality of light processing block images are obtained. In practice, the block division processing is performed for each light processing stripe image by:
first, the number of block divisions is determined according to the number of light sources, i.e. how many blocks each stripe needs to be divided into. In practice, the light treatment device comprises a plurality of light sources, so that each strip is divided into a plurality of blocks, and if the light treatment device comprises 96 light sources, each strip is divided into 96 blocks;
secondly, acquiring the light processing length and the width of a single pixel point, and calculating the number of pixel rows required by each block according to the following formula:
the number of pixel rows required per block = light processing length/width of individual pixel points/number of block divisions,
if the light processing length is 1080mm, and the width of each pixel point is 0.01mm at 2540DPI resolution, the number of required pixel rows per block is 1080000um/10 um/96=1125, that is, 1125 rows of pixels per block are required.
Finally, the light processing stripe image is segmented according to the number of pixel rows required by each block, and a plurality of light processing block images are obtained.
After each light processing stripe image is divided into a plurality of light processing block images, in each stripe, light processing is performed on each light processing block image according to the moving direction of the light source, for example, delayed light processing is performed on each light processing block image, namely, delayed M-Q+1 pixel points are performed on each light processing block image, wherein M is the number of the light sources, Q is the number of the light processing block images, for example, the first light processing block image is delayed by 96 pixel points and then subjected to light processing, the second light processing block image is delayed by 95 pixel points and then subjected to light processing, and the 96 th pixel points are delayed by 1 pixel point and then subjected to light processing. Of course, the light processing can be performed in advance, i.e. Q-1 pixel points are advanced for light processing, Q is the number of the light processing block image, for example, the 96 th light processing block image is advanced for light processing by 95 pixel points.
As shown in fig. 7, the invention further discloses a device for correcting the spiral line of the optical processing image, which comprises an image acquisition module, an image preprocessing module, a judging module and an optical processing module, wherein the image acquisition module is used for acquiring an original image, judging whether the original image needs to be rotated or not, and rotating the original image when the original image needs to be rotated; the image preprocessing module is used for carrying out stripe segmentation on the original image to obtain a plurality of original stripe images, further carrying out block segmentation on each original stripe image to obtain a plurality of original block images, and carrying out recalculation on coordinates of pixel points in each original block image according to the following coordinate formula to obtain an optical processing image:
{d+(Q-1)+Col，c+Row}，
wherein d is the light processing start position in the moving direction of the light source, col is the column coordinate of the current pixel point, c is the light processing start position in the rotating direction of the drum, row is the Row coordinate of the current pixel point, and Q is the number of the original block image;
the judging module is used for judging whether the light processing image accords with the specification; the light processing module is used for carrying out stripe segmentation on the light processing image when the judging module judges that the light processing image meets the specification, so as to obtain a plurality of light processing stripe images, further carrying out block segmentation on each light processing stripe image, so as to obtain a plurality of light processing block images, and carrying out light processing on each light processing block image in the light source moving direction.
Specifically, the image preprocessing module comprises an original stripe image generation module, an original block image generation module and a light processing image generation module, wherein the original stripe image generation module is used for carrying out stripe segmentation on an original image to obtain a plurality of original stripe images; the original block image generation module is used for carrying out block segmentation on each original stripe graph to obtain a plurality of original block images; the light processing image generation module is used for recalculating the coordinates of the pixel points in each original block image according to the coordinate formula, so as to obtain a light processing image.
Further, the original stripe image generating module includes a first stripe width calculating module and a first stripe dividing module, where the first stripe width calculating module is configured to calculate a width of each stripe according to the number of light sources and a distance between two adjacent light sources, and how to calculate the width of each stripe is detailed in the above description and will not be repeated here; the first strip segmentation module is used for segmenting the original image according to the width of each strip to obtain a plurality of original strip images.
The original block image generation module comprises a first quantity determination module, a first pixel row calculation module and a first block segmentation module, wherein the first quantity determination module is used for determining the quantity of block segmentation according to the quantity of light sources; the first pixel row calculating module is used for obtaining the light processing length and the width of a single pixel point, and calculating the number of pixel rows required by each block according to the following formula:
the number of pixel rows required per block = light processing length/width of single pixel point/number of block divisions;
the first block segmentation module is used for segmenting the original stripe image according to the number of pixel rows required by each block to obtain a plurality of original block images.
The light processing module comprises a light processing strip image generation module, a light processing block image generation module and a block image processing module, wherein the light processing strip image generation module is used for carrying out strip segmentation on the light processing image to obtain a plurality of light processing strip images; the light processing block image generation module is used for carrying out block segmentation on each light processing strip image to obtain a plurality of light processing block images; the block image processing module is used for performing light processing on each light processing block image in the moving direction of the light source.
Further, the light processing strip image generating module includes a second strip width calculating module and a second strip dividing module, where the second strip width calculating module is configured to calculate the width of each strip according to the number of light sources and the distance between two adjacent light sources, and how to calculate the width of each strip is detailed in the above description is not repeated here; the second stripe dividing module is used for dividing the light processing image according to the width of each stripe to obtain a plurality of light processing stripe images.
The light processing block image generation module comprises a second number determination module, a second pixel row calculation module and a second block segmentation module, wherein the second number determination module is used for determining the number of block segmentation according to the number of light sources, and the second pixel row calculation module is used for acquiring the light processing length and the width of a single pixel point and calculating the number of pixel rows required by each block according to the following formula:
the number of pixel rows required per block = light processing length/width of single pixel point/number of block divisions;
the second segmentation module is used for segmenting the light processing strip image according to the number of pixel rows required by each block to obtain a plurality of light processing block images.
The invention carries out stripe segmentation and block segmentation processing on the original image, and translates a pixel point between each block image to carry out spiral line compensation, thus obtaining the light processing image processed by the light processing equipment, further carries out stripe segmentation and block segmentation processing on the light processing image, carries out corresponding processing on each block image in the moving direction of the light source, realizes the spiral line correction of the light processing image, and improves the quality of the light processing image.
While the foregoing has been disclosed in the specification and drawings, it will be apparent to those skilled in the art that various substitutions and modifications may be made without departing from the spirit of the invention, and it is intended that the scope of the invention be limited not by the specific embodiments disclosed, but by the appended claims.
Claims (10)
1. A method for helix correction of a light-processed image, the method comprising
S100, acquiring an original image, judging whether the original image needs to be rotated or not, and rotating the original image when the original image needs to be rotated, otherwise, directly executing the step S200;
s200, performing stripe segmentation on an original image to obtain a plurality of original stripe images, further performing block segmentation on each original stripe image to obtain a plurality of original block images, and recalculating coordinates of pixel points in each original block image according to the following coordinate formula to obtain an optical processing image:
{d+(Q-1)+Col，c+Row}，
wherein d is the light processing start position in the light source moving direction, col is the column coordinate of the current pixel point, c is the light processing start position in the drum rotating direction, row is the Row coordinate of the current pixel point, and Q is the number of the original block image;
s300, judging whether the light processing image meets the specification or not, and generating an alarm prompt when the light processing image does not meet the specification, otherwise, directly executing the step S400;
and S400, performing stripe segmentation on the light processing image to obtain a plurality of light processing stripe images, further performing block segmentation on each light processing stripe image to obtain a plurality of light processing block images, and performing light processing on each light processing block image in the light source moving direction.
2. The method according to claim 1, wherein in step S200, the original stripe image is obtained according to the following steps:
calculating the width of each strip according to the number of the light sources and the distance between two adjacent light sources;
the original image is divided according to the width of each stripe, and a plurality of original stripe images are obtained.
3. The method according to claim 1, wherein in step S200, the original block image is obtained according to the steps of:
determining the number of block divisions according to the number of light sources;
acquiring the light processing length and the width of a single pixel point, and calculating the number of pixel rows required by each block according to the following formula:
the number of pixel rows required per block = light processing length/width of single pixel point/number of block divisions;
the original stripe image is segmented according to the number of pixel rows required for each block, and a plurality of original block images are obtained.
4. The method according to claim 1, wherein in step S400, the light-processed strip image is obtained according to the steps of:
calculating the width of each strip according to the number of the light sources and the distance between two adjacent light sources;
the light processing image is divided according to the width of each stripe, and a plurality of light processing stripe images are obtained.
5. The method according to claim 1, wherein in step S400, the light processing block image is obtained according to the steps of:
determining the number of block divisions according to the number of light sources;
acquiring the light processing length and the width of a single pixel point, and calculating the number of pixel rows required by each block according to the following formula:
the number of pixel rows required per block = light processing length/width of single pixel point/number of block divisions;
the light processing stripe image is divided according to the number of pixel rows required for each block, and a plurality of light processing block images are obtained.
6. A light-processed image spiral correction apparatus based on the light-processed image spiral correction method as claimed in any one of claims 1 to 5, comprising
The image acquisition module is used for acquiring an original image, judging whether the original image needs to be rotated or not, and rotating the original image when the original image needs to be rotated;
the image preprocessing module is used for carrying out stripe segmentation on the original image to obtain a plurality of original stripe images, further carrying out block segmentation on each original stripe image to obtain a plurality of original block images, and carrying out recalculation on coordinates of pixel points in each original block image according to the following coordinate formula to obtain an optical processing image:
{d+(Q-1)+Col，c+Row}，
wherein d is the light processing start position in the light source moving direction, col is the column coordinate of the current pixel point, c is the light processing start position in the drum rotating direction, row is the Row coordinate of the current pixel point, and Q is the number of the original block image;
the judging module is used for judging whether the light processing image accords with the specification;
the light processing module is used for carrying out stripe segmentation on the light processing image when the judging module judges that the light processing image meets the specification, so as to obtain a plurality of light processing stripe images, further carrying out block segmentation on each light processing stripe image, so as to obtain a plurality of light processing block images, and carrying out light processing on each light processing block image in the light source moving direction.
7. The light processing image spiral correction apparatus of claim 6, wherein the image pre-processing module comprises a raw stripe image generation module comprising
The first strip width calculation module is used for calculating the width of each strip according to the number of the light sources and the distance between two adjacent light sources;
the first strip segmentation module is used for segmenting the original image according to the width of each strip to obtain a plurality of original strip images.
8. The light processing image spiral correction apparatus of claim 6, wherein the image preprocessing module comprises an original block image generation module comprising
A first number determining module for determining the number of block divisions according to the number of light sources;
the first pixel row calculating module is used for acquiring the light processing length and the width of a single pixel point and calculating the number of pixel rows required by each block according to the following formula:
the number of pixel rows required per block = light processing length/width of single pixel point/number of block divisions;
the first block segmentation module is used for segmenting the original stripe image according to the number of pixel rows required by each block to obtain a plurality of original block images.
9. A light-processed image spiral correction apparatus as recited in claim 6, wherein said light processing module comprises a light-processed stripe image generation module comprising
The second strip width calculation module is used for calculating the width of each strip according to the number of the light sources and the distance between two adjacent light sources;
and the second strip segmentation module is used for segmenting the light processing image according to the width of each strip to obtain a plurality of light processing strip images.
10. A light processing image spiral correction apparatus as recited in claim 6, wherein said light processing module comprises a light processing block image generation module comprising
A second number determining module for determining the number of block divisions according to the number of light sources;
the second pixel row calculating module is used for acquiring the light processing length and the width of a single pixel point and calculating the number of pixel rows required by each block according to the following formula:
the number of pixel rows required per block = light processing length/width of single pixel point/number of block divisions;
and the second block segmentation module is used for segmenting the light processing strip image according to the number of pixel rows required by each block to obtain a plurality of light processing block images.
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