CN112037301A - Method and device for correcting reconstructed image and storage medium - Google Patents
Method and device for correcting reconstructed image and storage medium Download PDFInfo
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Abstract
The application relates to a correction method, a correction device and a storage medium for a reconstructed image. The method comprises the following steps: acquiring a reconstructed image set to be corrected; the set of reconstructed images comprises at least one reconstructed image; determining at least one group of correction tables according to a preset correction algorithm; at least one group of correction tables corresponds to at least one reconstructed image, and the correction tables are used for representing correction operation of each pixel point in the reconstructed image; and correcting the at least one reconstructed image by using the at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image. By adopting the method, the correction time can be saved, and the correction speed can be improved.
Description
Technical Field
The present application relates to the field of image reconstruction technologies, and in particular, to a method and an apparatus for correcting a reconstructed image, and a storage medium.
Background
With the development of medical Imaging devices, devices such as CT (Computed Tomography), MRI (Magnetic Resonance Imaging), PET (Positron Emission Tomography), and X-ray scanning are widely used in clinical diagnosis.
In the related art, medical imaging equipment performs image reconstruction according to a scanning result after scanning. Since there are many factors affecting the image reconstruction, such as the heartbeat of the patient, the respiratory movement of the patient, and the presence of metal in the patient, various artifacts are generally present in the reconstructed image. In order to reduce artifacts on the reconstructed image, correction processing needs to be performed on the reconstructed image. For example, correction processing is performed for motion artifacts, correction processing is performed for metal artifacts, and the like.
However, when the number of reconstructed images is large or the resolution of the reconstructed images is high, a large amount of correction time is consumed, resulting in a slow correction speed.
Disclosure of Invention
In view of the above, it is desirable to provide a method, an apparatus and a storage medium for correcting a reconstructed image, which can save the correction time and improve the correction speed.
A correction method for a reconstructed image, the method comprising:
acquiring a reconstructed image set to be corrected; the set of reconstructed images includes at least one reconstructed image;
determining at least one group of correction tables according to a preset correction algorithm; the correction tables are used for representing correction operation of each pixel point in the reconstructed image;
and carrying out correction processing on at least one reconstructed image by utilizing at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.
In one embodiment, the at least one set of correction tables includes a position correction table; the above-mentioned correction processing is performed on at least one reconstructed image by using at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image, including:
aiming at the target reconstructed image, carrying out position correction processing on each pixel point in the target reconstructed image by using a position correction table corresponding to the target reconstructed image to obtain a correction position of each pixel point;
and generating a corrected image corresponding to the target reconstructed image according to the original pixel value and the corrected position of each pixel point in the target reconstructed image.
In one embodiment, the at least one set of correction tables includes a pixel value correction table; the above-mentioned correction processing is performed on at least one reconstructed image by using at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image, including:
aiming at the target reconstructed image, carrying out pixel value correction processing on each pixel point in the target reconstructed image by using a pixel value correction table corresponding to the target reconstructed image to obtain a corrected pixel value of each pixel point;
and generating a corrected image corresponding to the target reconstructed image according to the original position and the corrected pixel value of each pixel point in the target reconstructed image.
In one embodiment, the at least one set of correction tables includes a position correction table and a pixel value correction table; the above-mentioned correction processing is performed on at least one reconstructed image by using at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image, including:
aiming at the target reconstructed image, carrying out position correction processing on each pixel point in the target reconstructed image by using a position correction table corresponding to the target reconstructed image to obtain a correction position of each pixel point;
carrying out pixel value correction processing on each pixel point in the target reconstructed image by using a pixel value correction table corresponding to the target reconstructed image to obtain a corrected pixel value of each pixel point;
and generating a corrected image corresponding to the target reconstructed image according to the corrected position and the corrected pixel value.
In one embodiment, the performing, by using the position correction table corresponding to the target reconstructed image, position correction processing on each pixel point in the target reconstructed image to obtain a corrected position of each pixel point includes:
determining a first position correction table, a second position correction table and a third position correction table corresponding to the target reconstructed image;
aiming at each pixel point in the target reconstruction image, respectively acquiring an X coordinate, a Y coordinate and a Z coordinate from the same storage positions of a first position correction table, a second position correction table and a third position correction table;
and determining a first pixel point to be corrected according to the X coordinate, the Y coordinate and the Z coordinate, and taking the storage position as the correction position of the first pixel point.
In one embodiment, the performing, by using the pixel value correction table corresponding to the target reconstructed image, pixel value correction processing on each pixel point in the target reconstructed image to obtain a corrected pixel value of each pixel point includes:
aiming at each pixel point in the target reconstructed image, acquiring a correction weight corresponding to each pixel point from a pixel value correction table corresponding to the target reconstructed image;
and carrying out pixel value correction processing according to the original pixel value and the correction weight of each pixel point to obtain a correction pixel value corresponding to each pixel point.
In one embodiment, the performing the pixel value correction processing according to the original pixel value and the correction weight of each pixel point to obtain the correction pixel value corresponding to each pixel point includes:
and aiming at the target pixel point, performing product calculation on the original pixel value of the target pixel point and the correction weight to obtain a correction pixel value corresponding to the target pixel point.
In one embodiment, the performing the pixel value correction processing according to the original pixel value and the correction weight of each pixel point to obtain the correction pixel value corresponding to each pixel point includes:
under the condition that at least one of the X coordinate, the Y coordinate and the Z coordinate is a finite decimal, taking at least one pixel point near the first pixel point as a second pixel point, and carrying out interpolation calculation according to an original pixel value of the second pixel point to obtain an intermediate pixel value;
and performing product calculation on the intermediate pixel value and the correction weight to obtain a correction pixel value of the first pixel point.
A correction apparatus for reconstructing an image, the apparatus comprising:
the image acquisition module is used for acquiring a reconstructed image set to be corrected; the set of reconstructed images includes at least one reconstructed image;
the correction table determining module is used for determining at least one group of correction tables according to a preset correction algorithm; the correction tables are used for representing correction operation of each pixel point in the reconstructed image;
and the image correction module is used for carrying out correction processing on at least one reconstructed image by utilizing at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.
In one embodiment, the at least one set of correction tables includes a position correction table; the image correction module includes:
the first correction position determining submodule is used for carrying out position correction processing on each pixel point in the target reconstruction image by utilizing a position correction table corresponding to the target reconstruction image aiming at the target reconstruction image to obtain the correction position of each pixel point;
and the first correction image generation submodule is used for generating a correction image corresponding to the target reconstruction image according to the original pixel value and the correction position of each pixel point in the target reconstruction image.
In one embodiment, the at least one set of correction tables includes a pixel value correction table; the image correction module includes:
the first correction pixel value determining submodule is used for carrying out pixel value correction processing on each pixel point in the target reconstructed image by using a pixel value correction table corresponding to the target reconstructed image aiming at the target reconstructed image to obtain a correction pixel value of each pixel point;
and the second correction image generation submodule is used for generating a correction image corresponding to the target reconstruction image according to the original position and the correction pixel value of each pixel point in the target reconstruction image.
In one embodiment, the at least one set of correction tables includes a position correction table and a pixel value correction table; the image correction module includes:
the second correction position determining submodule is used for carrying out position correction processing on each pixel point in the target reconstruction image by utilizing a position correction table corresponding to the target reconstruction image aiming at the target reconstruction image to obtain the correction position of each pixel point;
the second correction pixel value determining submodule is used for carrying out pixel value correction processing on each pixel point in the target reconstruction image by using a pixel value correction table corresponding to the target reconstruction image to obtain a correction pixel value of each pixel point;
and the third corrected image generation submodule is used for generating a corrected image corresponding to the target reconstructed image according to the corrected position and the corrected pixel value.
In one embodiment, the first correction position determining sub-module is specifically configured to determine a first position correction table, a second position correction table, and a third position correction table corresponding to the reconstructed image; aiming at each pixel point in the reconstructed image, respectively acquiring an X coordinate, a Y coordinate and a Z coordinate from the same storage positions of a first position correction table, a second position correction table and a third position correction table; and determining a first pixel point to be corrected according to the X coordinate, the Y coordinate and the Z coordinate, and taking the storage position as the correction position of the first pixel point.
In one embodiment, the first correction pixel value determining submodule is specifically configured to, for each pixel point in the target reconstructed image, obtain a correction weight corresponding to each pixel point from a pixel value correction table corresponding to the target reconstructed image; and carrying out pixel value correction processing according to the original pixel value and the correction weight of each pixel point to obtain a correction pixel value corresponding to each pixel point.
In one embodiment, the first correction pixel value determining submodule is specifically configured to perform product calculation on an original pixel value of a target pixel point and a correction weight for the target pixel point to obtain a correction pixel value corresponding to the target pixel point.
In one embodiment, the first correction pixel value determining submodule is specifically configured to, when at least one of an X coordinate, a Y coordinate, and a Z coordinate is a finite decimal, take at least one pixel point near the first pixel point as a second pixel point, and perform interpolation calculation according to an original pixel value of the second pixel point to obtain an intermediate pixel value; and performing product calculation on the intermediate pixel value and the correction weight to obtain a correction pixel value of the first pixel point.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring a reconstructed image set to be corrected; the set of reconstructed images includes at least one reconstructed image;
determining at least one group of correction tables according to a preset correction algorithm; the correction tables are used for representing correction operation of each pixel point in the reconstructed image;
and carrying out correction processing on at least one reconstructed image by utilizing at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring a reconstructed image set to be corrected; the set of reconstructed images includes at least one reconstructed image;
determining at least one group of correction tables according to a preset correction algorithm; the correction tables are used for representing correction operation of each pixel point in the reconstructed image;
and carrying out correction processing on at least one reconstructed image by utilizing at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.
According to the method, the device and the storage medium for correcting the reconstructed image, the terminal obtains a reconstructed image set to be corrected, and determines at least one group of correction tables according to a preset correction algorithm; and carrying out correction processing on at least one reconstructed image by utilizing at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image. In the embodiment of the present disclosure, the correction table is used to characterize the correction operation of each pixel point in the reconstructed image, that is, there is no dependency relationship between the correction processes of any two points in the reconstructed image, and the correction processes of all pixel points in the reconstructed image can be performed in parallel, so that the correction time can be saved, and the correction speed can be increased.
Drawings
FIG. 1 is a schematic flow chart of a correction method for reconstructing an image according to an embodiment;
FIG. 2 is a flowchart illustrating a step of obtaining a corrected image corresponding to a reconstructed image according to an embodiment;
FIG. 3 is a second flowchart illustrating the step of obtaining a corrected image corresponding to the reconstructed image according to an embodiment;
FIG. 4 is a third flowchart illustrating a step of obtaining a corrected image corresponding to a reconstructed image according to an embodiment;
FIG. 5 is a diagram of a correction table in one embodiment;
FIG. 6 is a block diagram of a correction apparatus for reconstructing an image according to an embodiment;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The correction method of the reconstructed image can be applied to medical imaging equipment. The medical imaging equipment comprises a scanning system and a control system, wherein the scanning system comprises a ray tube, a detector and a scanning frame (machine frame); the control system includes at least one terminal, which may include a processor, a display, and a memory. As shown in fig. 1, the method applied to the terminal is taken as an example for explanation, and includes the following steps:
Wherein the set of reconstructed images comprises at least one reconstructed image.
And the terminal controls the scanning system to scan and receives a scanning result fed back by the scanning system. And then, the terminal carries out image reconstruction according to the scanning result to obtain at least one reconstructed image, and the reconstructed image set is formed by the at least one reconstructed image. The number of reconstructed images in the reconstructed image set is not limited in the embodiments of the present disclosure.
The correction tables are used for representing correction operation of each pixel point in the reconstructed image.
The preset correction algorithm may include at least one of a correction algorithm for motion artifacts and a correction algorithm for metal artifacts. After the terminal determines the preset correction algorithm, the correction mode of the reconstructed image is determined according to the preset correction algorithm, and at least one group of correction tables corresponding to each reconstructed image is obtained according to the correction mode.
The correction mode for determining the reconstructed image according to the preset correction algorithm may be to determine that only the position correction is performed on each pixel point in the reconstructed image, or determine that only the pixel value correction is performed on each pixel point in the reconstructed image, or determine that both the position correction and the pixel value correction are performed on each pixel point in the reconstructed image.
And if the position correction is determined to be only carried out on each pixel point in the reconstructed image, obtaining a position correction table corresponding to each reconstructed image. And if the pixel value correction is determined to be only carried out on each pixel point in the reconstructed image, obtaining a pixel value correction table corresponding to each reconstructed image. And if the position correction is carried out on each pixel point in the reconstructed image and the pixel value correction is carried out on each pixel point in the reconstructed image, a position correction table and a pixel value correction table are obtained corresponding to each reconstructed image.
And 103, performing correction processing on at least one reconstructed image by using at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.
After at least one group of correction tables is obtained, for each reconstructed image, each pixel point in the reconstructed image is corrected by adopting the corresponding correction table to obtain a corresponding corrected image. Wherein the correction processing includes at least one of position correction processing and pixel value correction processing. Further, since there is no dependency between the correction processes at any two points in the reconstructed image, the correction processes can be executed in parallel.
The parallel correction Processing may be implemented by using a cuda (computer Unified Device architecture) computation model of a GPU (Graphics Processing Unit), or by using multiple threads of a CPU (central Processing Unit), or by using a vector computation function of the CPU. The embodiments of the present disclosure do not limit this.
In the method for correcting the reconstructed image, a terminal acquires a set of reconstructed images to be corrected, and determines at least one group of correction tables according to a preset correction algorithm; and carrying out correction processing on at least one reconstructed image by utilizing at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image. In the embodiment of the present disclosure, the correction table is used to characterize the correction operation of each pixel point in the reconstructed image, that is, there is no dependency relationship between the correction processes of any two points in the reconstructed image, and the correction processes of all pixel points in the reconstructed image can be performed in parallel, so that the correction time can be saved, and the correction speed can be increased.
In an embodiment, as shown in fig. 2, the step of performing a correction process on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image may include:
Under the condition that at least one group of correction tables comprises a position correction table, the terminal firstly determines a first position correction table, a second position correction table and a third position correction table corresponding to a target reconstruction image; then, aiming at each pixel point in the target reconstruction image, respectively acquiring an X coordinate, a Y coordinate and a Z coordinate from the same storage positions of a first position correction table, a second position correction table and a third position correction table; and finally, determining a first pixel point to be corrected according to the X coordinate, the Y coordinate and the Z coordinate, and taking the storage position as the correction position of the first pixel point. Wherein, the first position correction table can be an X coordinate correction table of each pixel point; the second position correction table can be a Y coordinate correction table of each pixel point; the third position correction table may be a Z coordinate correction table of each pixel point.
For example, the reconstructed image 1 is determined as the target reconstructed image, and the X coordinate correction table corresponding to the reconstructed image 1 is X1, the Y coordinate correction table is Y1, and the Z coordinate correction table is Z1. After that, the terminal acquires the X coordinate of 1 from the storage location of (3, 5, 8) of X1, the Y coordinate of 2 from the storage location of (3, 5, 8) of Y1, and the Z coordinate of 5 from the storage location of (3, 5, 8) of Z1, determines that the first pixel to be corrected is (1, 2, 5) from the X coordinate, the Y coordinate, and the Z coordinate, and the storage location of (3, 5, 8) is the corrected location of the first pixel (1, 2, 5).
And by analogy, the correction position of each pixel point in each reconstructed image in the reconstructed image set is obtained.
And after the correction position of each pixel point in the target reconstructed image is obtained, the original pixel value of each pixel point is used as the pixel value of the correction position, and a correction image corresponding to the target reconstructed image is generated according to the correction position of each pixel point and the pixel value of the correction position.
In the step of performing correction processing on at least one reconstructed image by using at least one group of correction tables to obtain a corrected image corresponding to at least one reconstructed image, aiming at a target reconstructed image, the terminal performs position correction processing on each pixel point in the reconstructed image by using a position correction table corresponding to the target reconstructed image to obtain a corrected position of each pixel point; and generating a corrected image corresponding to the target reconstructed image according to the original pixel value and the corrected position of each pixel point in the target reconstructed image. In the embodiment of the present disclosure, under the condition that at least one group of correction tables includes the position correction table, the position correction processing of all pixel points in each reconstructed image can be performed in parallel, so that the correction time can be saved, and the correction speed can be increased.
In an embodiment, as shown in fig. 3, the step of performing a correction process on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image may include:
And under the condition that at least one group of correction tables comprises a pixel value correction table, the terminal carries out pixel value correction processing on the target reconstructed image according to the pixel value correction table corresponding to the target reconstructed image. The pixel value correction processing may include: aiming at each pixel point in the target reconstructed image, acquiring a correction weight corresponding to each pixel point from a pixel value correction table corresponding to the target reconstructed image; and then, carrying out pixel value correction processing according to the original pixel value and the correction weight of each pixel point to obtain a corrected pixel value of each pixel point.
Wherein, performing pixel value correction processing according to the original pixel value and the correction weight of each pixel point, and obtaining the corrected pixel value of each pixel point may include: and aiming at the target pixel point, performing product calculation on the original pixel value of the target pixel point and the correction weight to obtain a correction pixel value corresponding to the target pixel point.
For example, the target reconstructed image is a reconstructed image 1, the pixel point 1 in the reconstructed image 1 is determined as a target pixel point, the original pixel value of the pixel point 1 is a, the weight corresponding to the pixel point 1 is obtained from the pixel value correction table corresponding to the reconstructed image 1 and is w, then the product of the original pixel value a and the correction weight w is calculated, and the correction pixel value of the pixel point 1 is a w. The embodiment of the present disclosure does not limit the correction weight. And by analogy, calculating a correction pixel value corresponding to each pixel point in the target reconstruction image.
And after the correction pixel value of each pixel point is obtained, generating a correction image according to the original position of each pixel point and the correction pixel value corresponding to each original position. By analogy, a correction image corresponding to each reconstructed image in the set of reconstructed images can be generated.
In the step of performing correction processing on the at least one reconstructed image by using the at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image, aiming at the target reconstructed image, the terminal performs pixel value correction processing on each pixel point in the target reconstructed image by using the pixel value correction table corresponding to the target reconstructed image to obtain a corrected pixel value of each pixel point; and generating a corrected image corresponding to the target reconstructed image according to the original position and the corrected pixel value of each pixel point in the target reconstructed image. In the embodiment of the present disclosure, under the condition that at least one group of correction tables includes the pixel value correction table, the pixel value correction processing of all the pixel points in each reconstructed image can be performed in parallel, so that the correction time can be saved, and the correction speed can be increased.
In an embodiment, as shown in fig. 4, the step of performing a correction process on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image may include:
As shown in fig. 5, the at least one set of correction tables includes a position correction table and a pixel value correction table. The position correction table comprises an X coordinate correction table, a Y coordinate correction table and a Z coordinate correction table, and the pixel value correction table is a W correction table. For the position correction processing of each pixel point in the target reconstructed image, reference may be made to the above embodiment, which is not described herein again.
And 402, carrying out pixel value correction processing on each pixel point in the target reconstructed image by using a pixel value correction table corresponding to the target reconstructed image to obtain a corrected pixel value of each pixel point.
For the pixel value correction processing of each pixel point in the target reconstructed image, refer to the above embodiment.
In one embodiment, the X coordinate, the Y coordinate, and the Z coordinate may be finite decimal numbers, and the specific procedure of the pixel value correction process may include: under the condition that at least one of the X coordinate, the Y coordinate and the Z coordinate is a finite decimal, taking at least one pixel point near the first pixel point as a second pixel point, and carrying out interpolation calculation according to an original pixel value of the second pixel point to obtain an intermediate pixel value; and performing product calculation on the intermediate pixel value and the correction weight to obtain a correction pixel value of the first pixel point.
For example, the storage location of (3, 5, 8) in the X coordinate correction table X1 is obtained to have an X coordinate of 1.0, the storage location of (3, 5, 8) in the Y coordinate correction table Y1 is obtained to have a Y coordinate of 2.0, the storage location of (3, 5, 8) in the Z coordinate correction table Z1 is obtained to have a Z coordinate of 5.5, and the storage location of (1, 2, 5.5) and (3, 5, 8) in which the first pixel to be corrected is determined to be the corrected location of the first pixel (1, 2, 5.5) according to the X coordinate, the Y coordinate, and the Z coordinate. Since the acquired Z coordinate is 5.5, which is a finite decimal, in this case, (1, 2, 5) and (1, 2, 6) near the first pixel point are taken as second pixel points, and interpolation calculation is performed according to the original pixel value of the second pixel point to obtain an intermediate pixel value. And then, obtaining a corrected pixel value of the first pixel point according to the intermediate pixel value and the correction weight.
The interpolation calculation can adopt a linear interpolation algorithm, a cubic interpolation algorithm and the like, and the number of nearby points used by different interpolation algorithms can be different.
And step 403, generating a corrected image corresponding to the target reconstructed image according to the corrected position and the corrected pixel value.
And after obtaining the correction position and the correction pixel value, the terminal generates a correction image corresponding to the target reconstruction image according to the correction position and the correction pixel value.
In the step of correcting at least one reconstructed image by using at least one group of correction tables to obtain a corrected image corresponding to at least one reconstructed image, aiming at a target reconstructed image, the terminal uses a position correction table corresponding to the target reconstructed image to correct the position of each pixel point in the target reconstructed image to obtain the corrected position of each pixel point; carrying out pixel value correction processing on each pixel point in the reconstructed image by using a pixel value correction table corresponding to the target reconstructed image to obtain a corrected pixel value of each pixel point; and generating a corrected image corresponding to the target reconstructed image according to the corrected position and the corrected pixel value. In the embodiment of the present disclosure, under the condition that at least one group of correction tables includes the position correction table and the pixel value correction table, the position correction processing of all the pixel points in each reconstructed image may be performed in parallel, and the pixel value correction processing of all the pixel points may also be performed in parallel, so that the correction time may be saved, and the correction speed may be increased.
It should be understood that although the various steps in the flowcharts of fig. 2-4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-4 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps or stages.
In one embodiment, as shown in fig. 6, there is provided a correction apparatus for reconstructing an image, including:
an image obtaining module 501, configured to obtain a set of reconstructed images to be corrected; the set of reconstructed images includes at least one reconstructed image;
a correction table determining module 502, configured to determine at least one group of correction tables according to a preset correction algorithm; the correction tables are used for representing correction operation of each pixel point in the reconstructed image;
the image correction module 503 is configured to perform correction processing on at least one reconstructed image by using at least one group of correction tables, so as to obtain a corrected image corresponding to the at least one reconstructed image.
In one embodiment, the at least one set of correction tables includes a position correction table; the image correction module 503 includes:
the first correction position determining submodule is used for carrying out position correction processing on each pixel point in the target reconstruction image by utilizing a position correction table corresponding to the target reconstruction image aiming at the target reconstruction image to obtain the correction position of each pixel point;
and the first correction image generation submodule is used for generating a correction image corresponding to the target reconstruction image according to the original pixel value and the correction position of each pixel point in the target reconstruction image.
In one embodiment, the at least one set of correction tables includes a pixel value correction table; the image correction module 503 includes:
the first correction pixel value determining submodule is used for carrying out pixel value correction processing on each pixel point in the target reconstructed image by using a pixel value correction table corresponding to the target reconstructed image aiming at the target reconstructed image to obtain a correction pixel value of each pixel point;
and the second correction image generation submodule is used for generating a correction image corresponding to the target reconstruction image according to the original position and the correction pixel value of each pixel point in the target reconstruction image.
In one embodiment, the at least one set of correction tables includes a position correction table and a pixel value correction table; the image correction module 503 includes:
the second correction position determining submodule is used for carrying out position correction processing on each pixel point in the target reconstruction image by utilizing a position correction table corresponding to the target reconstruction image aiming at the target reconstruction image to obtain the correction position of each pixel point;
the second correction pixel value determining submodule is used for carrying out pixel value correction processing on each pixel point in the target reconstruction image by using a pixel value correction table corresponding to the target reconstruction image to obtain a correction pixel value of each pixel point;
and the third corrected image generation submodule is used for generating a corrected image corresponding to the target reconstructed image according to the corrected position and the corrected pixel value.
In one embodiment, the first correction position determining sub-module is specifically configured to determine a first position correction table, a second position correction table, and a third position correction table corresponding to the target reconstructed image; aiming at each pixel point in the reconstructed image, respectively acquiring an X coordinate, a Y coordinate and a Z coordinate from the same storage positions of a first position correction table, a second position correction table and a third position correction table; and determining a first pixel point to be corrected according to the X coordinate, the Y coordinate and the Z coordinate, and taking the storage position as the correction position of the first pixel point.
In one embodiment, the first correction pixel value determining submodule is specifically configured to, for each pixel point in the target reconstructed image, obtain a correction weight corresponding to each pixel point from a pixel value correction table corresponding to the target reconstructed image; and carrying out pixel value correction processing according to the original pixel value and the correction weight of each pixel point to obtain the corrected pixel value of each pixel point.
In one embodiment, the first correction pixel value determining submodule is specifically configured to perform product calculation on an original pixel value of a target pixel point and a correction weight for the target pixel point to obtain a correction pixel value corresponding to the target pixel point.
In one embodiment, the first correction pixel value determining submodule is specifically configured to, when at least one of an X coordinate, a Y coordinate, and a Z coordinate is a finite decimal, take at least one pixel point near the first pixel point as a second pixel point, and perform interpolation calculation according to an original pixel value of the second pixel point to obtain an intermediate pixel value; and performing product calculation on the intermediate pixel value and the correction weight to obtain a correction pixel value of the first pixel point.
For specific limitations of the correction device for the reconstructed image, reference may be made to the above limitations of the correction method for the reconstructed image, which are not described herein again. The modules in the correction device for reconstructing an image can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a correction method for a reconstructed image. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring a reconstructed image set to be corrected; the set of reconstructed images includes at least one reconstructed image;
determining at least one group of correction tables according to a preset correction algorithm; the correction tables are used for representing correction operation of each pixel point in the reconstructed image;
and carrying out correction processing on at least one reconstructed image by utilizing at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.
In one embodiment, the at least one set of correction tables includes a position correction table; the processor, when executing the computer program, further performs the steps of:
aiming at the target reconstructed image, carrying out position correction processing on each pixel point in the target reconstructed image by using a position correction table corresponding to the target reconstructed image to obtain a correction position of each pixel point;
and generating a corrected image corresponding to the target reconstructed image according to the original pixel value and the corrected position of each pixel point in the target reconstructed image.
In one embodiment, the at least one set of correction tables includes a pixel value correction table; the processor, when executing the computer program, further performs the steps of:
aiming at the target reconstructed image, carrying out pixel value correction processing on each pixel point in the reconstructed image by using a pixel value correction table corresponding to the target reconstructed image to obtain a corrected pixel value of each pixel point;
and generating a corrected image corresponding to the target reconstructed image according to the original position and the corrected pixel value of each pixel point in the target reconstructed image.
In one embodiment, the at least one set of correction tables includes a position correction table and a pixel value correction table; the processor, when executing the computer program, further performs the steps of:
aiming at the target reconstructed image, carrying out position correction processing on each pixel point in the target reconstructed image by using a position correction table corresponding to the target reconstructed image to obtain a correction position of each pixel point;
carrying out pixel value correction processing on each pixel point in the target reconstructed image by using a pixel value correction table corresponding to the target reconstructed image to obtain a corrected pixel value of each pixel point;
and generating a corrected image corresponding to the target reconstructed image according to the corrected position and the corrected pixel value.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
determining a first position correction table, a second position correction table and a third position correction table corresponding to the target reconstructed image;
aiming at each pixel point in the target reconstruction image, respectively acquiring an X coordinate, a Y coordinate and a Z coordinate from the same storage positions of a first position correction table, a second position correction table and a third position correction table;
and determining a first pixel point to be corrected according to the X coordinate, the Y coordinate and the Z coordinate, and taking the storage position as the correction position of the first pixel point.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
aiming at each pixel point in the target reconstructed image, acquiring a correction weight corresponding to each pixel point from a pixel value correction table corresponding to the target reconstructed image;
and carrying out pixel value correction processing according to the original pixel value and the correction weight of each pixel point to obtain the corrected pixel value of each pixel point.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and aiming at the target pixel point, performing product calculation on the original pixel value of the target pixel point and the correction weight to obtain a correction pixel value corresponding to the target pixel point.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
under the condition that at least one of the X coordinate, the Y coordinate and the Z coordinate is a finite decimal, taking at least one pixel point near the first pixel point as a second pixel point, and carrying out interpolation calculation according to an original pixel value of the second pixel point to obtain an intermediate pixel value;
and performing product calculation on the intermediate pixel value and the correction weight to obtain a correction pixel value of the first pixel point.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a reconstructed image set to be corrected; the set of reconstructed images includes at least one reconstructed image;
determining at least one group of correction tables according to a preset correction algorithm; the correction tables are used for representing correction operation of each pixel point in the reconstructed image;
and carrying out correction processing on at least one reconstructed image by utilizing at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.
In one embodiment, the at least one set of correction tables includes a position correction table; the computer program when executed by the processor further realizes the steps of:
aiming at the target reconstructed image, carrying out position correction processing on each pixel point in the target reconstructed image by using a position correction table corresponding to the target reconstructed image to obtain a correction position of each pixel point;
and generating a corrected image corresponding to the target reconstructed image according to the original pixel value and the corrected position of each pixel point in the target reconstructed image.
In one embodiment, the at least one set of correction tables includes a pixel value correction table; the computer program when executed by the processor further realizes the steps of:
aiming at the target reconstructed image, carrying out pixel value correction processing on each pixel point in the target reconstructed image by using a pixel value correction table corresponding to the target reconstructed image to obtain a corrected pixel value of each pixel point;
and generating a corrected image corresponding to the target reconstructed image according to the original position and the corrected pixel value of each pixel point in the target reconstructed image.
In one embodiment, the at least one set of correction tables includes a position correction table and a pixel value correction table; the computer program when executed by the processor further realizes the steps of:
aiming at the target reconstructed image, carrying out position correction processing on each pixel point in the target reconstructed image by using a position correction table corresponding to the target reconstructed image to obtain a correction position of each pixel point;
carrying out pixel value correction processing on each pixel point in the reconstructed image by using a pixel value correction table corresponding to the target reconstructed image to obtain a corrected pixel value of each pixel point;
and generating a corrected image corresponding to the target reconstructed image according to the corrected position and the corrected pixel value.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a first position correction table, a second position correction table and a third position correction table corresponding to the target reconstructed image;
aiming at each pixel point in the target reconstruction image, respectively acquiring an X coordinate, a Y coordinate and a Z coordinate from the same storage positions of a first position correction table, a second position correction table and a third position correction table;
and determining a first pixel point to be corrected according to the X coordinate, the Y coordinate and the Z coordinate, and taking the storage position as the correction position of the first pixel point.
In one embodiment, the computer program when executed by the processor further performs the steps of:
aiming at each pixel point in the target reconstructed image, acquiring a correction weight corresponding to the pixel point from a pixel value correction table corresponding to the target reconstructed image;
and carrying out pixel value correction processing according to the original pixel value and the correction weight of each pixel point to obtain the corrected pixel value of each pixel point.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and aiming at the target pixel point, performing product calculation on the original pixel value of the target pixel point and the correction weight to obtain a correction pixel value corresponding to the target pixel point.
In one embodiment, the computer program when executed by the processor further performs the steps of:
under the condition that at least one of the X coordinate, the Y coordinate and the Z coordinate is a finite decimal, taking at least one pixel point near the first pixel point as a second pixel point, and carrying out interpolation calculation according to an original pixel value of the second pixel point to obtain an intermediate pixel value;
and performing product calculation on the intermediate pixel value and the correction weight to obtain a correction pixel value of the first pixel point.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A correction method for a reconstructed image, the method comprising:
acquiring a reconstructed image set to be corrected; the set of reconstructed images comprises at least one reconstructed image;
determining at least one group of correction tables according to a preset correction algorithm; the at least one group of correction tables corresponds to at least one reconstructed image, and the correction tables are used for representing correction operation of each pixel point in the reconstructed image;
and correcting the at least one reconstructed image by using the at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.
2. The method of claim 1, wherein the at least one set of correction tables comprises a position correction table; the performing correction processing on the at least one reconstructed image by using the at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image includes:
aiming at a target reconstruction image, carrying out position correction processing on each pixel point in the target reconstruction image by using a position correction table corresponding to the target reconstruction image to obtain a correction position of each pixel point;
and generating a corrected image corresponding to the target reconstructed image according to the original pixel value and the corrected position of each pixel point in the target reconstructed image.
3. The method of claim 1, wherein the at least one set of correction tables comprises a pixel value correction table; the performing correction processing on the at least one reconstructed image by using the at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image includes:
aiming at a target reconstruction image, carrying out pixel value correction processing on each pixel point in the reconstruction image by using a pixel value correction table corresponding to the target reconstruction image to obtain a corrected pixel value of each pixel point;
and generating a corrected image corresponding to the target reconstructed image according to the original position of each pixel point in the target reconstructed image and the corrected pixel value.
4. The method of claim 1, wherein the at least one set of correction tables comprises a position correction table and a pixel value correction table; the performing correction processing on the at least one reconstructed image by using the at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image includes:
aiming at a target reconstruction image, carrying out position correction processing on each pixel point in the target reconstruction image by using a position correction table corresponding to the target reconstruction image to obtain a correction position of each pixel point;
carrying out pixel value correction processing on each pixel point in the target reconstructed image by using a pixel value correction table corresponding to the target reconstructed image to obtain a corrected pixel value of each pixel point;
and generating a corrected image corresponding to the target reconstructed image according to the corrected position and the corrected pixel value.
5. The method according to any one of claims 2 to 4, wherein the performing, by using the position correction table corresponding to the target reconstructed image, position correction processing on each pixel point in the target reconstructed image to obtain a corrected position of each pixel point comprises:
determining a first position correction table, a second position correction table and a third position correction table corresponding to the target reconstructed image;
aiming at each pixel point in the target reconstruction image, respectively acquiring an X coordinate, a Y coordinate and a Z coordinate from the same storage positions of the first position correction table, the second position correction table and the third position correction table;
and determining a first pixel point to be corrected according to the X coordinate, the Y coordinate and the Z coordinate, and taking the storage position as a correction position of the first pixel point.
6. The method according to claim 5, wherein the performing a pixel value correction process on each pixel point in the target reconstructed image by using a pixel value correction table corresponding to the target reconstructed image to obtain a corrected pixel value of each pixel point comprises:
aiming at each pixel point in the target reconstructed image, acquiring a correction weight corresponding to each pixel point from a pixel value correction table corresponding to the target reconstructed image;
and carrying out pixel value correction processing according to the original pixel value of each pixel point and the correction weight to obtain a correction pixel value corresponding to each pixel point.
7. The method according to claim 6, wherein the performing pixel value correction processing according to the original pixel value and the correction weight of each pixel point to obtain a corrected pixel value corresponding to each pixel point comprises:
and aiming at a target pixel point, performing product calculation on an original pixel value of the target pixel point and the correction weight to obtain a correction pixel value corresponding to the target pixel point.
8. The method according to claim 6, wherein the performing pixel value correction processing according to the original pixel value and the correction weight of each pixel point to obtain a corrected pixel value corresponding to each pixel point comprises:
under the condition that at least one of the X coordinate, the Y coordinate and the Z coordinate is a finite decimal, taking at least one pixel point near the first pixel point as a second pixel point, and carrying out interpolation calculation according to an original pixel value of the second pixel point to obtain an intermediate pixel value;
and performing product calculation on the intermediate pixel value and the correction weight to obtain a correction pixel value corresponding to the first pixel point.
9. A correction device for reconstructing an image, the device comprising:
the image acquisition module is used for acquiring a reconstructed image set to be corrected; the set of reconstructed images comprises at least one reconstructed image;
the correction table determining module is used for determining at least one group of correction tables according to a preset correction algorithm; the at least one group of correction tables corresponds to at least one reconstructed image, and the correction tables are used for representing correction operation of each pixel point in the reconstructed image;
and the image correction module is used for correcting the at least one reconstructed image by using the at least one group of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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