WO2022100048A1 - Procédé et appareil de traitement d'image, dispositif électronique et support de stockage lisible par ordinateur - Google Patents

Procédé et appareil de traitement d'image, dispositif électronique et support de stockage lisible par ordinateur Download PDF

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Publication number
WO2022100048A1
WO2022100048A1 PCT/CN2021/094568 CN2021094568W WO2022100048A1 WO 2022100048 A1 WO2022100048 A1 WO 2022100048A1 CN 2021094568 W CN2021094568 W CN 2021094568W WO 2022100048 A1 WO2022100048 A1 WO 2022100048A1
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Prior art keywords
pixel
image processing
filtering window
processed
variance
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PCT/CN2021/094568
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English (en)
Chinese (zh)
Inventor
赵博
李永超
韩启强
洪星智
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海宁奕斯伟集成电路设计有限公司
北京奕斯伟计算技术有限公司
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Publication of WO2022100048A1 publication Critical patent/WO2022100048A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/20—Image enhancement or restoration using local operators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20024—Filtering details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details

Definitions

  • the present disclosure relates to the technical field of image processing, and in particular, to an image processing method, apparatus, electronic device, and storage medium.
  • Bilateral Filter is widely used in the fields of Noise Reduction, Photographic Style Transfer, Tone Mapping, Cartoon Rendition and Image Enhancement.
  • the bilateral filter is an edge-preserving filter using a nonlinear filtering method, it will cause artifacts such as Gradient Reversal when it is applied to image processing in the field of image enhancement.
  • the present disclosure provides an image processing method, an apparatus, an electronic device and a storage medium, which are used to solve the problem of artifacts such as gradient inversion during image processing in the field of image enhancement.
  • the present disclosure provides an image processing method, the method comprising: acquiring an image to be processed, and for each pixel to be processed in the to-be-processed image, performing the following operations to obtain filtering processing After the output image; the pixel to be processed is used as the central pixel to construct a filtering window, wherein the central pixel is I(y,x), and the size of the filtering window is M ⁇ N, where M, N are both is an odd number greater than 1; calculate the angle value of each pixel of the filtering window and the central pixel, the pixel of the filtering window is I(i,j), where i is greater than or equal to 1 and less than or equal to M , j is greater than or equal to 1 and less than or equal to N; calculate the variance in the filtering window according to the angle value; calculate the weight coefficient of each pixel in the filtering window according to the variance; All pixels of the filtering window are used to obtain the weighted result.
  • the calculation formula of the angle value is:
  • theta(i,j) is the angle value
  • sim(i,j) is the pixel similarity between the pixel of the filter window and the center pixel
  • dis(i,j) is the filter window
  • a is the first adjustment parameter.
  • the calculation formula of the pixel similarity is:
  • sim(i,j) I(i,j)-I(y,x).
  • the calculation formula of the pixel distance is:
  • the formula for calculating the variance is:
  • sigma is the variance
  • b is the preset target mean
  • c is the second adjustment parameter.
  • the calculation formula of the weight coefficient is:
  • weight(i,j) is the weight coefficient
  • the calculation formula of the weighted result is:
  • the present disclosure provides an image processing apparatus, the image processing apparatus comprising: an acquisition module for acquiring a to-be-processed image, the to-be-processed image including a plurality of to-be-processed pixels; a building module , which is used to construct a filtering window with the pixel to be processed as the central pixel, where the central pixel is I(y,x), and the size of the filtering window is M ⁇ N, where M and N are both larger than an odd number of 1; the angle value calculation module is used to calculate the angle value between each pixel of the filtering window and the central pixel, and the pixel of the filtering window is I(i, j), where i is greater than or equal to 1 and less than or equal to M, j is greater than or equal to 1 and less than or equal to N; the variance calculation module is used to calculate the variance in the filtering window according to the angle value; the weight coefficient calculation module is used to calculate the filter according to the variance a weighting
  • the present disclosure provides an electronic device comprising a processor, a memory, and a program or instruction stored on the memory and executable on the processor, the program or instruction being executed by the
  • the processor implements the steps of the image processing method described above when executed.
  • the present disclosure provides a readable storage medium, on which a program or an instruction is stored, and when the program or the instruction is executed by a processor, implements the above-mentioned image processing method.
  • the beneficial effects of the present disclosure are: by taking each pixel to be processed in the image to be processed as the central pixel to construct a filtering window, and calculating the angle value between each pixel in the filtering window and the central pixel, In this way, the variance in the filtering window is obtained, and then the weight coefficient of each pixel in the filtering window is obtained, and finally all pixels in the filtering window are weighted according to the weight coefficient, so as to avoid the problem of artifacts such as gradient flipping during image enhancement processing.
  • the filtered image maintains good details while reducing noise, enhancing the image display quality.
  • FIG. 1 is a schematic flowchart of steps of an image processing method according to an embodiment of the present disclosure.
  • FIG. 2 is a schematic diagram of a frame structure of an image enhancement provided by an embodiment of the present disclosure.
  • FIG. 3 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present disclosure.
  • FIG. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
  • FIG. 5 is a schematic diagram of a specific structure of an electronic device provided by an embodiment of the present disclosure.
  • an embodiment of the present disclosure provides an image processing method, which is applied to an electronic device, and the method includes steps S11 to S16 .
  • step S11 an image to be processed is acquired, and the image to be processed includes a plurality of pixels to be processed, and the following operations are performed to obtain an output image after filtering.
  • the original picture may be split and processed according to the size, or a picture may be directly processed as an image to be processed, which is not specifically limited in the embodiment of the present disclosure.
  • a filter window is constructed with the pixel to be processed as the center pixel, wherein the center pixel is I(y,x), and the size of the filter window is M ⁇ N, where M and N are both larger than Odd number of 1.
  • one pixel is selected as the center pixel in turn, and the center pixel is used as the center of the filtering window, and the center pixel is moved to the upper left, upper right, upper right, right left, right, lower left, right lower,
  • Step S13 Calculate the angle value between each pixel of the filter window and the center pixel, where the pixel of the filter window is I(i,j), where i is greater than or equal to 1 and less than or equal to M, and j is greater than or equal to M. Equal to 1 and less than or equal to N.
  • the calculation formula of the angle value is:
  • theta(i,j) is the angle value
  • sim(i,j) is the pixel similarity between the pixel of the filter window and the center pixel
  • dis(i,j) is the difference between the pixel of the filter window and the center pixel pixel distance
  • a is the first adjustment parameter
  • a is used to The result is adjusted, the larger a is, the larger the absolute value of theta(i,j) is, and the larger the filtering degree is, where a is a real number greater than 0.
  • sim(i,j) I(i,j)-I(y,x).
  • Step S14 Calculate the variance in the filtering window according to the angle value.
  • the calculation formula of variance is:
  • sigma is the variance
  • b is the preset target mean value
  • b can be obtained according to the weighted average of the angle values in the filter window
  • the value range of b is c is the second adjustment parameter
  • c is used to adjust the result of the sigma, the larger the c is, the larger the sigma, and the greater the filtering degree, where c is a real number greater than 0.
  • Step S15 Calculate the weight coefficient of each pixel in the filtering window according to the variance.
  • the calculation formula of the weight coefficient is:
  • weight(i,j) is the weight coefficient
  • Step S16 weight all the pixels of the filtering window according to the weight coefficient to obtain a weighting result.
  • the calculation formula of the weighted result is:
  • a filtered image is obtained by performing the above image processing on each pixel.
  • an embodiment of the present disclosure provides a schematic diagram of a frame structure of image enhancement.
  • a low-pass filter After inputting the image, first pass a low-pass filter to obtain low-pass components and high-frequency components (High Frequency); then, enhance the high-frequency components (Enhance), such as multiplying the high-frequency components by the gain value (Gain) to carry out Amplify, and finally add the enhanced high-frequency components back to the low-pass components of the input image, resulting in an output enhanced image.
  • an embodiment of the present disclosure provides an image processing apparatus, which is applied to an electronic device.
  • the apparatus includes an acquisition module 301 , a construction module 302 , an angle value calculation module 303 , a variance calculation module 304 , a weight coefficient calculation module 305 , and Weighting module 306 .
  • the acquiring module 301 is configured to acquire an image to be processed, and the image to be processed includes a plurality of pixels to be processed.
  • the original picture may be split and processed according to the size, or a picture may be directly processed as an image to be processed, which is not specifically limited in the embodiment of the present disclosure.
  • the building module 302 is configured to use the pixel to be processed as a central pixel to construct a filtering window, wherein the central pixel is I(y,x), and the size of the filtering window is M ⁇ N, where M and N are both. is an odd number greater than 1.
  • one pixel is selected as the center pixel in turn, and the center pixel is used as the center of the filtering window, and the center pixel is moved to the upper left, upper right, upper right, right left, right, lower left, right lower,
  • the angle value calculation module 303 is used to calculate the angle value between each pixel of the filtering window and the central pixel, and the pixel of the filtering window is I(i,j), where i is greater than or equal to 1 and less than or equal to M, j is greater than or equal to 1 and less than or equal to N.
  • the calculation formula of the angle value is:
  • theta(i,j) is the angle value
  • sim(i,j) is the pixel similarity between the pixel of the filter window and the center pixel
  • dis(i,j) is the difference between the pixel of the filter window and the center pixel pixel distance
  • a is the first adjustment parameter
  • a is used to The result is adjusted, the larger a is, the larger the absolute value of theta(i,j) is, and the larger the filtering degree is, where a is a real number greater than 0.
  • sim(i,j) I(i,j)-I(y,x).
  • the variance calculation module 304 is configured to calculate the variance within the filtering window according to the angle value.
  • the calculation formula of variance is:
  • sigma is the variance
  • b is the preset target mean value
  • b can be obtained according to the weighted average of the angle values in the filter window
  • the value range of b is c is the second adjustment parameter
  • c is used to adjust the result of the sigma, the larger the c is, the larger the sigma, and the greater the filtering degree, where c is a real number greater than 0.
  • the weight coefficient calculation module 305 is configured to calculate the weight coefficient of each pixel in the filter window according to the variance.
  • the calculation formula of the weight coefficient is:
  • weight(i,j) is the weight coefficient
  • the weighting module 306 is configured to weight all the pixels of the filtering window according to the weight coefficient to obtain a weighting result.
  • the calculation formula of the weighted result is:
  • the image to be processed is processed by the above modules to obtain a filtered image.
  • an embodiment of the present disclosure further provides an electronic device 400 , and the electronic device 400 may be devices such as a mobile phone, a tablet, and a computer.
  • the electronic device 400 includes a processor 401 and a memory 402 .
  • the processor 401 is electrically connected to the memory 402 .
  • the processor 401 is the control center of the electronic device 400, uses various interfaces and lines to connect various parts of the entire electronic device, executes the electronic Various functions of the device and processing data, so as to carry out the overall monitoring of the electronic device.
  • the electronic device 400 is provided with multiple storage partitions, and the multiple storage partitions include a system partition and a target partition.
  • the instructions corresponding to the process of the program are loaded into the memory 402, and the processor 401 runs the application program stored in the memory 402, thereby realizing various functions:
  • the filter window is constructed with the pixel to be processed as the center pixel, wherein the center pixel is I(y,x), and the size of the filter window is M ⁇ N, where M and N are odd numbers greater than 1 ;
  • the pixel of the filtering window is I(i,j), where i is greater than or equal to 1 and less than or equal to M, j is greater than or equal to 1 and less than or equal to N;
  • All pixels of the filtering window are weighted according to the weight coefficient to obtain a weighting result.
  • FIG. 5 shows a specific structural block diagram of an electronic device 500 provided by an embodiment of the present disclosure, and the electronic device 500 may be used to implement the image processing method provided in the foregoing embodiments.
  • the electronic device 500 may be a mobile phone or a tablet.
  • the electronic device 500 also includes the following components.
  • the RF circuit 510 is used for receiving and sending electromagnetic waves, realizing mutual conversion between electromagnetic waves and electrical signals, so as to communicate with a communication network or other devices.
  • RF circuitry 510 may include various related art circuit elements for performing these functions, eg, antennas, radio frequency transceivers, digital signal processors, encryption/decryption chips, Subscriber Identity Module (SIM) cards, memory, and the like.
  • the RF circuit 510 may communicate with various networks such as the Internet, an intranet, a wireless network, or with other devices over a wireless network.
  • the aforementioned wireless network may include a cellular telephone network, a wireless local area network, or a metropolitan area network.
  • the above-mentioned wireless network can use various communication standards, protocols and technologies, including but not limited to Global System for Mobile Communication (GSM), Enhanced Data GSM Environment (EDGE), wideband code Division Multiple Access (Wideband Code Division Multiple Access, WCDMA), Code Division Multiple Access (Code Division Access, CDMA), Time Division Multiple Access (TDMA), Wireless Fidelity (Wireless Fidelity, Wi- Fi) (such as IEEE 802.11a, IEEE 802.11b, IEEE802.11g and/or IEEE802.11n), Voice over Internet Protocol (VoIP), Worldwide Interoperability for Microwave Access, Wi-Max), other protocols for mail, instant messaging, and short messaging, and any other suitable communication protocols, even those that are not currently being developed.
  • GSM Global System for Mobile Communication
  • EDGE Enhanced Data GSM Environment
  • WCDMA Wideband Code Division Multiple Access
  • CDMA Code Division Multiple Access
  • TDMA Time Division Multiple Access
  • Wireless Fidelity Wireless Fidelity
  • Wi- Fi such as IEEE 802.11a, IEEE
  • the memory 520 can be used to store software programs and modules, such as program instructions/modules corresponding to the image processing method in the above-mentioned embodiments, and the processor 580 executes various functional applications and data processing by running the software programs and modules stored in the memory 520. , that is, the function of realizing the image processing method.
  • Memory 520 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory.
  • memory 520 may further include memory located remotely from processor 580, which may be connected to electronic device 500 through a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
  • the input unit 530 may be used to receive input numerical or character information, and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.
  • the input unit 530 may include a touch-sensitive surface 531 as well as other input devices 532 .
  • Touch-sensitive surface 531 also known as a touch display or trackpad, can collect user touch operations on or near it (such as a user using a finger, stylus, etc., any suitable object or accessory on or on touch-sensitive surface 531). operation near the touch-sensitive surface 531 ), and drive the corresponding connection device according to a preset program.
  • the touch-sensitive surface 531 may include two parts, a touch detection device and a touch controller.
  • the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and then sends it to the touch controller.
  • the touch-sensitive surface 531 may be implemented using resistive, capacitive, infrared, and surface acoustic wave types.
  • the input unit 530 may also include other input devices 532 .
  • other input devices 532 may include, but are not limited to, one or more of physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, joysticks, and the like.
  • the display unit 540 may be used to display information input by or provided to the user and various graphical user interfaces of the electronic device 500, which may be composed of graphics, text, icons, videos, and any combination thereof.
  • the display unit 540 may include a display panel 541, and optionally, the display panel 541 may be configured in the form of an LCD (Liquid Crystal Display, liquid crystal display), an OLED (Organic Light-Emitting Diode, organic light-emitting diode) and the like. Further, the touch-sensitive surface 531 may cover the display panel 541.
  • the touch-sensitive surface 531 When the touch-sensitive surface 531 detects a touch operation on or near it, it transmits it to the processor 580 to determine the type of the touch event, and then the processor 580 determines the type of the touch event according to the touch event. Type provides corresponding visual output on display panel 541 .
  • the touch-sensitive surface 531 and the display panel 541 are implemented as two separate components to realize the input and output functions, in some embodiments, the touch-sensitive surface 531 and the display panel 541 may be integrated to realize the input and output functions.
  • the electronic device 500 may also include at least one sensor 550, such as a light sensor, a motion sensor, and other sensors.
  • the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display panel 541 according to the brightness of the ambient light, and the proximity sensor may turn off the display panel 541 when the electronic device 500 is moved to the ear and/or backlight.
  • the gravitational acceleration sensor can detect the magnitude of acceleration in all directions (usually three axes), and can detect the magnitude and direction of gravity when stationary, and can be used for applications that recognize the attitude of mobile phones (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc.; as for other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared sensor, etc. that can be configured in the electronic device 500, here No longer.
  • the audio circuit 560 , the speaker 561 , and the microphone 562 may provide an audio interface between the user and the electronic device 500 .
  • the audio circuit 560 can transmit the received audio data converted electrical signal to the speaker 561, and the speaker 561 converts it into a sound signal for output; on the other hand, the microphone 562 converts the collected sound signal into an electrical signal, which is converted by the audio circuit 560 After receiving, it is converted into audio data, and then the audio data is output to the processor 580 for processing, and then sent to, for example, another terminal through the RF circuit 510, or the audio data is output to the memory 520 for further processing.
  • the audio circuit 560 may also include an earphone jack to provide for communication of peripheral headphones with the electronic device 500 .
  • the electronic device 500 can help the user to send and receive emails, browse web pages, access streaming media, etc. through the transmission module 570 (eg, a Wi-Fi module), which provides the user with wireless broadband Internet access.
  • the transmission module 570 eg, a Wi-Fi module
  • FIG. 5 shows the transmission module 570, it can be understood that it does not belong to the essential structure of the electronic device 500, and can be completely omitted as required within the scope of not changing the essence of the invention.
  • the processor 580 is the control center of the electronic device 500, uses various interfaces and lines to connect various parts of the entire mobile phone, runs or executes the software programs and/or modules stored in the memory 520, and calls the data stored in the memory 520. , perform various functions of the electronic device 500 and process data, so as to monitor the mobile phone as a whole.
  • the processor 580 may include one or more processing cores; in some embodiments, the processor 580 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface and Applications, etc., the modem processor mainly deals with wireless communication. It can be understood that, the above-mentioned modulation and demodulation processor may not be integrated into the processor 580 .
  • the electronic device 500 also includes a power source 590 (such as a battery) for powering the various components.
  • the power source may be logically connected to the processor 580 through a power management system to manage charging, discharging, and power consumption through the power management system. management and other functions.
  • Power supply 590 may also include one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, power status indicators, and any other components.
  • the electronic device 500 may further include a camera (eg, a front-facing camera, a rear-facing camera), a Bluetooth module, and the like, which will not be repeated here.
  • the display unit of the electronic device is a touch screen display
  • the electronic device further includes a memory, and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by one or more programs.
  • the above processor executing one or more programs contains instructions for:
  • the filter window is constructed with the pixel to be processed as the center pixel, wherein the center pixel is I(y,x), and the size of the filter window is M ⁇ N, where M and N are odd numbers greater than 1 ;
  • the pixel of the filtering window is I(i,j), where i is greater than or equal to 1 and less than or equal to M, j is greater than or equal to 1 and less than or equal to N;
  • All pixels of the filtering window are weighted according to the weight coefficient to obtain a weighting result.
  • the above modules can be implemented as independent entities, or can be arbitrarily combined to be implemented as the same or several entities.
  • the specific implementation of the above modules can refer to the previous method embodiments, which will not be repeated here.
  • the readable storage medium may include: a read-only memory (ROM, Read Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and the like.
  • ROM Read Only Memory
  • RAM Random Access Memory
  • magnetic disk or an optical disk and the like.
  • a filter window is constructed by taking each pixel to be processed in the image to be processed as the center pixel, and the angle value between each pixel in the filter window and the center pixel is calculated, so as to obtain the value of the filter window. Then, the weight coefficient of each pixel in the filter window is obtained, and finally all pixels in the filter window are weighted according to the weight coefficient, so as to avoid the problem of gradient flipping and other artifacts caused by image enhancement processing, and realize that the filtered image is reduced in size. Noise while maintaining good details, enhancing the image display quality.
  • modules can all be implemented in the form of software calling through processing elements; they can also all be implemented in hardware; some modules can also be implemented in the form of calling software through processing elements, and some modules can be implemented in hardware.
  • the determination module may be a separately established processing element, or may be integrated into a certain chip of the above-mentioned device to be implemented, in addition, it may also be stored in the memory of the above-mentioned device in the form of program code, and a certain processing element of the above-mentioned device may Call and execute the function of the above determined module.
  • the implementation of other modules is similar. In addition, all or part of these modules can be integrated together, and can also be implemented independently.
  • the processing element described here may be an integrated circuit with signal processing capability. In the implementation process, each step of the above-mentioned method or each of the above-mentioned modules can be completed by an integrated logic circuit of hardware in the processor element or an instruction in the form of software.
  • each module, unit, sub-unit or sub-module may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuit (ASIC), or, one or Multiple microprocessors (digital signal processors, DSP), or, one or more field programmable gate arrays (Field Programmable Gate Array, FPGA), etc.
  • ASIC Application Specific Integrated Circuit
  • DSP digital signal processors
  • FPGA Field Programmable Gate Array
  • the processing element may be a general-purpose processor, such as a central processing unit (Central Processing Unit, CPU) or other processors that can call program codes.
  • CPU central processing unit
  • these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).
  • SOC system-on-a-chip

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Abstract

La présente divulgation concerne un procédé et un appareil de traitement d'image, un dispositif électronique et un support de stockage lisible par ordinateur. Le procédé de la présente divulgation consiste : à utiliser chaque pixel à traiter dans une image à traiter comme pixel central et à construire ainsi une fenêtre de filtrage ; à calculer une valeur d'angle de chaque pixel dans la fenêtre de filtrage par rapport au pixel central, de manière à acquérir une variance de la fenêtre de filtrage ; à acquérir un coefficient de pondération de chaque pixel dans la fenêtre de filtrage ; et à pondérer tous les pixels dans la fenêtre de filtrage selon le coefficient de pondération, de manière à obtenir un résultat pondéré.
PCT/CN2021/094568 2020-11-11 2021-05-19 Procédé et appareil de traitement d'image, dispositif électronique et support de stockage lisible par ordinateur WO2022100048A1 (fr)

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