WO2018019130A1 - 一种实现图像降噪的方法、装置和终端及计算机存储介质 - Google Patents

一种实现图像降噪的方法、装置和终端及计算机存储介质 Download PDF

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Publication number
WO2018019130A1
WO2018019130A1 PCT/CN2017/092766 CN2017092766W WO2018019130A1 WO 2018019130 A1 WO2018019130 A1 WO 2018019130A1 CN 2017092766 W CN2017092766 W CN 2017092766W WO 2018019130 A1 WO2018019130 A1 WO 2018019130A1
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Prior art keywords
image
noise
region
images
reference image
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PCT/CN2017/092766
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English (en)
French (fr)
Inventor
马亮
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Nubia Technology Co Ltd
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Nubia Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80—Camera processing pipelines; Components thereof
    • H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/73—Circuitry for compensating brightness variation in the scene by influencing the exposure time

Definitions

  • the present application relates to the field of image processing technologies, and in particular, to a method, an apparatus, a terminal, and a computer storage medium for implementing image noise reduction.
  • the embodiment of the present application is intended to provide a method, an apparatus, and a terminal for implementing image noise reduction, to solve the problem of large local noise of an image caused by capturing an image, improve image quality, and improve user experience.
  • An embodiment of the present application provides a method for implementing image noise reduction, where the method includes:
  • n images of the same size For the same scene, respectively, using n different exposure parameters to shoot, to obtain n images of the same size; each image obtained is divided into M regions according to the same division manner, n and M are greater than 1;
  • any one of the reference image is a noise image region, selecting, in the non-reference image of all n images, the same position as each of the determined noise image regions Area;
  • a clear area is determined in each of the selected areas, and the clear area is an area in which the noise amplitude is the smallest among the selected areas; each of the determined noise image areas in the reference image is replaced with a corresponding clear area.
  • the method further includes: obtaining a noise amplitude of the i-th region of the n images, where i is less than or equal to M;
  • the noise image region determining strategy determines that an ith region of the reference image is a noise image region when a noise amplitude of an i-th region of the reference image is greater than a set noise amplitude.
  • the method further includes: obtaining an average value of the obtained n noise amplitudes;
  • the set noise amplitude is less than or equal to an average of the n noise amplitudes.
  • the selecting one image among the obtained n images as the reference image includes:
  • an image corresponding to the intermediate values of the n different exposure parameters is used as a reference image.
  • the method further includes:
  • the (n+1)/2th exposure parameter is used as an intermediate value of the n different exposure parameters
  • the n/2th exposure parameter is used as an intermediate value of the n different exposure parameters.
  • An embodiment of the present application further provides an apparatus for implementing image noise reduction, where the apparatus includes: an obtaining module, a processing module, and a replacement module;
  • An acquisition module for respectively capturing n different exposure parameters for the same scene, n images of the same size; each image is divided into M regions according to the same division, and n and M are both greater than 1;
  • a processing module configured to select an image as a reference image among the obtained n images; and determine, according to a preset noise image region determining strategy, when any one of the reference image regions is a noise image region, in all n frames In the non-reference image of the image, an area at the same position as each of the determined noise image areas is selected;
  • a replacement module configured to determine a clear area in each of the selected regions, wherein the clear area is an area with the smallest noise amplitude in each of the selected areas; and each determined noise image area in the reference image is replaced with a corresponding Clear area.
  • the processing module is further configured to obtain a noise amplitude of an ith region of the n images, where i is less than or equal to M;
  • the noise image region determining strategy determines that an ith region of the reference image is a noise image region when a noise amplitude of an i-th region of the reference image is greater than a set noise amplitude.
  • the processing module is further configured to obtain an average value of the obtained n noise amplitudes after obtaining the noise amplitude of the i-th region of the n images;
  • the set noise amplitude is less than or equal to an average of the n noise amplitudes.
  • the processing module is specifically configured to use, as the reference image, an image corresponding to an intermediate value of the n different exposure parameters in the obtained n images.
  • the embodiment of the present application further provides a terminal, where the terminal includes any one of the foregoing devices for implementing image noise reduction.
  • the embodiment of the present application further provides a terminal, including:
  • a storage medium configured to store computer executable instructions
  • a storage medium configured to store computer executable instructions
  • a processor configured to execute the computer executable instructions, the computer executable instructions comprising respectively capturing n different exposure parameters for the same scene to obtain n images of the same size; each image to be derived Divided into M regions according to the same division method, n and M are both greater than 1;
  • any one of the reference image is a noise image region, selecting, in the non-reference image of all n images, the same position as each of the determined noise image regions Area;
  • a clear area is determined in each of the selected areas, and the clear area is an area in which the noise amplitude is the smallest among the selected areas; each of the determined noise image areas in the reference image is replaced with a corresponding clear area.
  • the computer executable instructions further include:
  • i is less than or equal to M
  • the noise image region determining strategy determines that an ith region of the reference image is a noise image region when a noise amplitude of an i-th region of the reference image is greater than a set noise amplitude.
  • the computer executable instructions further include:
  • the set noise amplitude is less than or equal to an average of the n noise amplitudes.
  • the computer executable instructions further include:
  • an image corresponding to the intermediate values of the n different exposure parameters is used as a reference image.
  • the computer executable instructions further include:
  • the (n+1)/2th exposure parameter is used as an intermediate value of the n different exposure parameters
  • the n/2th exposure parameter is used as an intermediate value of the n different exposure parameters.
  • the embodiment of the present application further provides a computer storage medium, where the computer storage medium stores computer executable instructions, and the computer executable instructions include:
  • any one of the reference image is a noise image region, selecting, in the non-reference image of all n images, the same position as each of the determined noise image regions Area;
  • a clear area is determined in each of the selected areas, and the clear area is an area in which the noise amplitude is the smallest among the selected areas; each of the determined noise image areas in the reference image is replaced with a corresponding clear area.
  • the computer executable instructions further include:
  • i is less than or equal to M
  • the noise image region determining strategy determines that an ith region of the reference image is a noise image region when a noise amplitude of an i-th region of the reference image is greater than a set noise amplitude.
  • the computer executable instructions further include:
  • the set noise amplitude is less than or equal to an average of the n noise amplitudes.
  • the computer executable instructions further include:
  • an image corresponding to the intermediate values of the n different exposure parameters is used as a reference image.
  • the computer executable instructions further include:
  • the (n+1)/2th exposure parameter is used as an intermediate value of the n different exposure parameters
  • the n/2th exposure parameter is used as an intermediate value of the n different exposure parameters.
  • Method, device, terminal and computer storage for realizing image noise reduction provided by embodiments of the present application
  • the medium is photographed by using n different exposure parameters for the same scene to obtain n images of the same size; each image obtained is divided into M regions according to the same division manner, and n and M are both greater than 1; Selecting one image as the reference image among the obtained n images; determining a non-reference image of all n images when any one of the reference image is determined as a noise image region based on a preset noise image region determination strategy And selecting an area at the same position as each of the determined noise image areas; determining a clear area in each of the selected areas, wherein the clear area is the area with the smallest noise amplitude in each of the selected areas; Each of the determined noise image regions in the reference image is replaced with a corresponding clear region.
  • the embodiment of the present application can effectively solve the problem that the local noise of the image is large when the image is captured, improve the image quality, and improve the user experience.
  • FIG. 1 is a schematic structural diagram of hardware of an optional terminal for implementing various embodiments of the present application
  • FIG. 2 is a schematic diagram of a wireless communication system of the terminal shown in FIG. 1;
  • FIG. 3 is a front elevational view of a terminal according to a first embodiment of the present application.
  • FIG. 4 is a rear view of a terminal according to a first embodiment of the present application.
  • FIG. 5 is a flowchart of a first embodiment of a method for implementing image noise reduction according to the present application
  • FIG. 6 is a flowchart of a second embodiment of a method for implementing image noise reduction according to the present application.
  • FIG. 7 is a schematic structural diagram of a device for implementing image noise reduction according to an embodiment of the present application.
  • the terminal can be implemented in various forms.
  • the terminal described in the embodiments of the present application may include, for example, a mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a personal digital assistant (PDA), Terminals for tablet computers (PADs), portable multimedia players (PMPs), navigation devices, and the like, as well as fixed terminals such as digital TVs, desktop computers, and the like.
  • PDA personal digital assistant
  • PADs Terminals for tablet computers
  • PMPs portable multimedia players
  • navigation devices and the like
  • fixed terminals such as digital TVs, desktop computers, and the like.
  • FIG. 1 is a schematic structural diagram of hardware of an optional terminal for implementing various embodiments of the present application.
  • the terminal 100 may include a wireless communication unit 110, an audio/video (A/V) input unit 120, a user input unit 130, an output unit 140, a memory 150, a controller 160, a power supply unit 170, and the like.
  • Figure 1 shows a terminal having various components, but it should be understood that not all illustrated components are required to be implemented. More or fewer components can be implemented instead. The components of the terminal will be described in detail below.
  • Wireless communication unit 110 typically includes one or more components that permit radio communication between terminal 100 and a wireless communication system or network.
  • the wireless communication unit may include at least one of a broadcast receiving module 111, a mobile communication module 112, a wireless internet module 113, a short-range communication module 114, and a location information module 115.
  • the broadcast receiving module 111 receives a broadcast signal and/or broadcast associated information from an external broadcast management server via a broadcast channel.
  • the broadcast channel can include a satellite channel and/or a terrestrial channel.
  • the broadcast management server may be a server that generates and transmits a broadcast signal and/or broadcast associated information or a server that receives a previously generated broadcast signal and/or broadcast associated information and transmits it to the terminal.
  • the broadcast signal may include a TV broadcast signal, a radio broadcast signal, a data broadcast signal, and the like.
  • the broadcast signal may further include a broadcast signal combined with a TV or radio broadcast signal.
  • the broadcast associated information may also be provided via a mobile communication network, and in this case, the broadcast associated information may be received by the mobile communication module 112.
  • the broadcast signal may exist in various forms, for example, it may exist in the form of Digital Multimedia Broadcasting (DMB) Electronic Program Guide (EPG), Digital Video Broadcasting Handheld (DVB-H) Electronic Service Guide (ESG), and the like.
  • the broadcast receiving module 111 can receive a signal broadcast by using various types of broadcast systems.
  • the broadcast receiving module 111 can use forward link media (MediaFLO) by using, for example, multimedia broadcast-terrestrial (DMB-T), digital multimedia broadcast-satellite (DMB-S), digital video broadcast-handheld (DVB-H)
  • MediaFLO forward link media
  • the digital broadcasting system of the @ ) data broadcasting system, the terrestrial digital broadcasting integrated service (ISDB-T), and the like receives digital broadcasting.
  • the broadcast receiving module 111 can be constructed as various broadcast systems suitable for providing broadcast signals as well as the above-described digital broadcast system.
  • the broadcast signal and/or broadcast associated information received via the broadcast receiving module 111 may be stored in the memory 150 (or other type of
  • the mobile communication module 112 transmits the radio signals to and/or receives radio signals from at least one of a base station (e.g., an access point, a Node B, etc.), an external terminal, and a server.
  • a base station e.g., an access point, a Node B, etc.
  • Such radio signals may include voice call signals, video call signals, or various types of data transmitted and/or received in accordance with text and/or multimedia messages.
  • the wireless internet module 113 supports wireless internet access of the terminal.
  • the module can be internally or externally coupled to the terminal.
  • the wireless Internet access technologies involved in the module may include Wireless Local Area Network (WLAN) (Wi-Fi), Wireless Broadband (Wibro), Worldwide Interoperability for Microwave Access (Wimax), High Speed Downlink Packet Access (HSDPA), and the like. .
  • WLAN Wireless Local Area Network
  • Wibro Wireless Broadband
  • Wimax Worldwide Interoperability for Microwave Access
  • HSDPA High Speed Downlink Packet Access
  • the short range communication module 114 is a module for supporting short range communication.
  • Some examples of short-range communication technology include Bluetooth TM, a radio frequency identification (RFID), infrared data association (IrDA), ultra wideband (UWB), ZigBee, etc. TM.
  • the location information module 115 is a module for checking or acquiring location information of the terminal.
  • a typical example of a location information module is the Global Positioning System (GPS).
  • GPS Global Positioning System
  • the GPS module 115 calculates distance information and accurate time information from three or more satellites and applies triangulation to the calculated information to accurately calculate three-dimensional current position information based on longitude, latitude, and altitude.
  • the method for calculating position and time information uses three satellites and corrects the calculated position and time information errors by using another satellite.
  • the GPS module 115 is capable of calculating speed information by continuously calculating current position information in real time.
  • the A/V input unit 120 is for receiving an audio or video signal.
  • the A/V input unit 120 may include a camera 121 that processes image data of still pictures or video obtained by an image capturing device in a video capturing mode or an image capturing mode.
  • the processed image frame can be displayed on the display unit 141.
  • the image frames processed by the camera 121 may be stored in the memory 150 (or other storage medium) or transmitted via the wireless communication unit 110, and two or more cameras 121 may be provided according to the configuration of the terminal.
  • the user input unit 130 can generate key input data according to a command input by the user to control various operations of the terminal.
  • the user input unit 130 allows the user to input various types of information, and may include a keyboard, a pot, a touch pad (for example, a touch sensitive component that detects changes in resistance, pressure, capacitance, etc. due to contact), a scroll wheel, and a shaker. Rod and so on.
  • a touch panel for example, a touch sensitive component that detects changes in resistance, pressure, capacitance, etc. due to contact
  • a scroll wheel for example, a touch sensitive component that detects changes in resistance, pressure, capacitance, etc. due to contact
  • a shaker. Rod and so on a touch screen can be formed.
  • Output unit 140 is configured to provide an output signal (eg, an audio signal, a video signal, an alarm signal, a vibration signal, etc.) in a visual, audio, and/or tactile manner.
  • the output unit 140 may include a display unit 141.
  • the display unit 141 can display information processed in the terminal 100. For example, when the terminal 100 is in the phone call mode, the display unit 141 can display a User's Interface (UI) or a graphical user interface (GUI) related to a call or other communication (eg, text messaging, multimedia file download, etc.). ). When the terminal 100 is in the video call mode or the image capturing mode, the display unit 141 may display the captured image and/or the received image, a UI or GUI showing the video or image and related functions, and the like.
  • UI User's Interface
  • GUI graphical user interface
  • the display unit 141 can function as an input device and an output device.
  • the display unit 141 may include at least one of a liquid crystal display (LCD), a thin film transistor LCD (TFT-LCD), an organic light emitting diode (OLED) display, a flexible display, a three-dimensional (3D) display, and the like.
  • LCD liquid crystal display
  • TFT-LCD thin film transistor LCD
  • OLED organic light emitting diode
  • a flexible display a three-dimensional (3D) display, and the like.
  • 3D three-dimensional
  • Some of these displays may be configured to be transparent to allow a user to view from the outside, which may be referred to as a transparent display, and a typical transparent display may be, for example, a transparent organic light emitting diode (TOLED) display or the like.
  • TOLED transparent organic light emitting diode
  • the terminal 100 may include two or more display units (or other display devices) according to a particular desired embodiment, for example, the terminal may include an external display unit (not shown) and an internal display unit (not shown).
  • the touch screen can be used to detect touch input pressure as well as touch input position and touch input area.
  • the memory 150 may store a software program or the like that performs processing and control operations performed by the controller 160, or may temporarily store data (for example, a phone book, a message, a still image, a video, and the like) that has been output or is to be output. Moreover, the memory 150 can store information about when a touch is applied to the touch screen Various ways of vibration and audio signal data.
  • the memory 150 may include at least one type of storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (eg, SD or DX memory, etc.), a random access memory (RAM), a static random access memory ( SRAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), magnetic memory, magnetic disk, optical disk, and the like.
  • the terminal 100 can cooperate with a network storage device that performs a storage function of the memory 150 through a network connection.
  • Controller 160 typically controls the overall operation of the terminal. For example, controller 160 performs the control and processing associated with voice calls, data communications, video calls, and the like. Additionally, the controller 160 may include a multimedia module 161 for reproducing (or playing back) multimedia data, which may be constructed within the controller 160 or may be configured to be separate from the controller 160. The controller 160 may perform a pattern recognition process to recognize a handwriting input or a picture drawing input performed on the touch screen as a character or an image.
  • the power supply unit 170 receives external power or internal power under the control of the controller 160 and provides appropriate power required to operate the various components and components.
  • the various embodiments described herein can be implemented in a computer readable medium using, for example, computer software, hardware, or any combination thereof.
  • the embodiments described herein may be through the use of application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays ( An FPGA, a processor, a controller, a microcontroller, a microprocessor, at least one of the electronic units designed to perform the functions described herein is implemented, in some cases such an embodiment may be at the controller 160 Implemented in the middle.
  • implementations such as procedures or functions may be implemented with separate software modules that permit the execution of at least one function or operation.
  • the software code can be implemented by a software application (or program) written in any suitable programming language, which can be stored in memory 150 and executed
  • the terminal has been described in terms of its function.
  • a sliding type terminal in various types of terminals such as a folding type, a bar type, a swing type, a slide type terminal, and the like will be described.
  • the present application can be applied to any type of terminal, and is not limited to a slide type terminal.
  • the terminal 100 as shown in FIG. 1 may be configured to operate using a communication system such as a wired and wireless communication system and a satellite-based communication system that transmits data via frames or packets.
  • a communication system such as a wired and wireless communication system and a satellite-based communication system that transmits data via frames or packets.
  • Such communication systems may use different air interfaces and/or physical layers.
  • air interfaces used by communication systems include, for example, Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), Code Division Multiple Access (CDMA), and Universal Mobile Telecommunications System (UMTS) (in particular, Long Term Evolution (LTE)). ), Global System for Mobile Communications (GSM), etc.
  • FDMA Frequency Division Multiple Access
  • TDMA Time Division Multiple Access
  • CDMA Code Division Multiple Access
  • UMTS Universal Mobile Telecommunications System
  • LTE Long Term Evolution
  • GSM Global System for Mobile Communications
  • the following description relates to a CDMA communication system, but such teachings are equally applicable to other types of systems.
  • a CDMA wireless communication system may include a plurality of terminals 100, a plurality of base stations (BS) 270, a base station controller (BSC) 275, and a mobile switching center (MSC) 280.
  • the MSC 280 is configured to interface with a public switched telephone network (PSTN) 290.
  • PSTN public switched telephone network
  • the MSC 280 is also configured to interface with a BSC 275 that can be coupled to the base station 270 via a backhaul line.
  • the backhaul line can be constructed in accordance with any of a number of known interfaces including, for example, E1/T1, ATM, IP, PPP, Frame Relay, HDSL, ADSL, or xDSL. It will be appreciated that the system as shown in FIG. 2 can include multiple BSCs 275.
  • Each BS 270 can serve one or more partitions (or regions), each of which is covered by a multi-directional antenna or an antenna directed to a particular direction radially away from the BS 270. Alternatively, each partition may be covered by two or more antennas for diversity reception. Each BS 270 can be configured to support multiple frequency allocations, and each frequency allocation has a particular frequency spectrum (eg, 1.25 MHz, 5 MHz, etc.).
  • BS 270 may also be referred to as a Base Transceiver Subsystem (BTS) or other equivalent terminology.
  • BTS Base Transceiver Subsystem
  • the term "base station” can be used to generally refer to a single BSC 275 and at least one BS 270.
  • a base station can also be referred to as a "cell station.”
  • each partition of a particular BS 270 may be referred to as a plurality of cellular stations.
  • a broadcast transmitter (BT) 295 transmits a broadcast signal to the terminal 100 operating within the system.
  • a broadcast receiving module 111 as shown in FIG. 1 is provided at the terminal 100 to receive a broadcast signal transmitted by the BT 295.
  • GPS Global Positioning System
  • Satellite 300 Help locate at least one of the plurality of terminals 100.
  • a plurality of satellites 300 are depicted, but it is understood that useful positioning information can be obtained using any number of satellites.
  • the GPS module 115 as shown in Figure 1 is typically configured to cooperate with the satellite 300 to obtain desired positioning information. Instead of GPS tracking technology or in addition to GPS tracking technology, other techniques that can track the location of the terminal can be used. Additionally, at least one GPS satellite 300 can selectively or additionally process satellite DMB transmissions.
  • BS 270 receives reverse link signals from various terminals 100.
  • Terminal 100 typically participates in calls, messaging, and other types of communications.
  • Each reverse link signal received by a particular base station 270 is processed within a particular BS 270.
  • the obtained data is forwarded to the relevant BSC 275.
  • the BSC provides call resource allocation and coordinated mobility management functions including a soft handoff procedure between the BSs 270.
  • the BSC 275 also routes the received data to the MSC 280, which provides additional routing services for interfacing with the PSTN 290.
  • PSTN 290 interfaces with MSC 280, which forms an interface with BSC 275, and BSC 275 controls BS 270 accordingly to transmit forward link signals to terminal 100.
  • the first embodiment of the present application proposes a method for realizing image noise reduction, which can be applied to a terminal provided with a photographing function.
  • the terminal described above may be a fixed terminal having a display screen or a terminal having a display screen.
  • the fixed terminal described above may be a computer or the like, and the terminals described above include, but are not limited to, a mobile phone, a notebook computer, a camera, a PDA, a PAD, a PMP, a navigation device, and the like.
  • the operating system may be UNIX, Linux, Windows, Android, Windows Phone, and the like.
  • the type, shape, size, and the like of the display screen on the terminal are not limited.
  • the display screen on the terminal may be a liquid crystal display or the like.
  • FIG. 3 is a front view of the terminal involved in the first embodiment of the present application.
  • 4 is a rear view of the terminal involved in the first embodiment of the present application.
  • FIG. 5 is a flowchart of a first embodiment of a method for implementing image noise reduction according to the present application. As shown in FIG. 5, the method includes:
  • Step 500 Taking n different exposure parameters for the same scene to obtain n images of the same size; each image obtained is divided into M regions according to the same division manner, and n and M are greater than 1 .
  • the applied shooting device is any device with a shooting function, such as a terminal with a shooting function, a camera, etc.;
  • the exposure parameter may include a shutter speed, a diaphragm size, and a sensitivity; thus, when n different exposure parameters are selected, the distribution of light, the state of the person, and the object may be selected according to the selected shooting scene. Using the imaging effect of the human eye viewing device to select an exposure parameter suitable for the selected scene.
  • the selected exposure parameter as a reference exposure parameter, respectively, selecting an appropriate number of different exposure parameters within the upper and lower ranges of the reference exposure parameter; for example, selecting 5 to 15 different exposure parameters within the upper and lower ranges of the selected reference exposure parameter .
  • the exposure parameters may be equally spaced or equally spaced based on the selected reference exposure parameters to derive a plurality of different exposure parameters.
  • the photographing device automatically records the exposure parameter corresponding to the captured image, and stores the corresponding exposure parameter; for example, when the camera is set on the mobile phone, the corresponding image can be said.
  • the exposure parameters are stored in the phone's storage.
  • each image obtained is divided into M regions according to the same division manner, and may include:
  • each image obtained is divided into regions according to the same division manner.
  • one or several division manners are not limited, and in actual implementation, the details of the captured scene may be used.
  • the appropriate image area division manner is selected; for example, the image area can be divided into rectangular blocks of the same shape according to the arrangement characteristics of the image pixel points.
  • Step 501 Select an image as the reference image among the obtained n images.
  • an image corresponding to an intermediate value of n different exposure parameters corresponding to the captured n sub-images may be used as a reference image.
  • the selected n different exposure parameters are first arranged from low to high.
  • the (n+1)/2th exposure parameter is taken as the intermediate value of the n different exposure parameters; when the exposure When the number n of values is an even number, among the n different exposure parameters after the arrangement, the n/2th exposure parameter or the n/2+1th exposure parameter is taken as the middle of the n different exposure parameters. value.
  • n is an odd number and an even number is respectively exemplified.
  • the third exposure parameter is used as the intermediate value of the exposure parameter by using the formula (n+1)/2; when n is taken as 10, the fifth exposure parameter or the sixth exposure parameter is used as the exposure parameter. Median.
  • any one of the three parameters including the shutter speed, the aperture size, and the sensitivity included in the exposure parameter may be used as an arrangement basis, such as an aperture corresponding to all captured images.
  • the size is arranged from low to high to arrange the corresponding exposure The order of the parameters.
  • Step 502 Based on a preset noise image region determining strategy, when determining that any one of the reference images is a noise image region, in each of the non-reference images of the n images, select and each of the determined noise image regions In the same location area.
  • the noise amplitude of the i-th region of the n images is first obtained, and i is less than or equal to M.
  • the noise image region determining strategy is: when the noise amplitude of the i-th region of the reference image is greater than the set noise amplitude, determining the ith region of the reference image as the noise image region.
  • the position information of the noise image area can be recorded.
  • an area at the same position as each of the determined noise image areas is selected.
  • an average of the obtained n noise amplitudes may also be obtained.
  • the set noise amplitude is less than or equal to an average value of the n noise amplitudes; for example, the set noise amplitude is an average of the n noise amplitudes, or an average of the n noise amplitudes 0.8 times the value.
  • the noise amplitude of the i-th region of the reference image is less than or equal to the set noise amplitude, the i-th region of the reference image is not the noise image region.
  • image noise is used to represent various factors in the image that hinder people from accepting information. It is appropriate to regard image noise as a multi-dimensional random process. Therefore, the method of describing image noise can completely borrow the description of the random process, that is, use it. Probability distribution function and probability density distribution function.
  • the noise amplitude distribution of the image noise may be a Gaussian distribution or a Rayleigh distribution.
  • the M region positions of the image division may be numbered, and i is an integer from 1 to M.
  • each image may be divided into rectangular blocks of the same shape by using a certain number of horizontal lines and vertical lines, and the rectangular squares represent the divided image regions; after the rectangular squares are divided, the leftmost end of the first row
  • the area is the first area, from left to right, the second, third, fourth area, etc.; when j is greater than 1, the sequence number of the leftmost area of the jth line is extended to the rightmost area of the j-1th line.
  • the serial number of the image area of the jth line is arranged in the same manner as the first line; thus, the serial numbers of the above M areas are determined.
  • the non-reference image of all n images is: each of the remaining images after the selected reference image is removed from all n images.
  • the third area in the reference image is the noise image area.
  • the third area of each image is selected as: The area where the image area is at the same position.
  • Step 503 Determine a clear area in each selected area, where the clear area is the area with the smallest noise amplitude in each of the selected areas; and replace each determined noise image area in the reference image with a corresponding clear region.
  • the region with the largest noise amplitude can be found as a clear region by comparing the noise amplitude of the selected image region according to the region where the determined noise image region is selected at the same position.
  • a total of six images are captured, wherein the third image is a reference image, and the fourth region in the reference image is a noise image region, the first image, the second image, the fourth image, the fifth image,
  • the sixth image is a non-reference image, and the fourth region of all non-reference images is selected as the region at the same position as the corresponding noise image region; after that, the image parameters of the fourth region of all non-reference images are compared.
  • the clear region corresponding to the fourth region in the reference image is the fourth region of the first image.
  • the noise image area determined in each of the reference images is replaced with the corresponding clear
  • the clear region includes image segmentation of the noise image region in the reference image to eliminate the noise image region in the reference image.
  • the image segmentation technology may be: a threshold-based segmentation technique, a region-based segmentation technique, an edge-based segmentation technique, and a specific theory-based segmentation method.
  • the selected clear region and the reference image segmented with the noise image region are image-combined, and the image synthesis technique may adopt: Poisson image editing technology, drag algorithm, and the like.
  • n different exposure parameters are respectively used for the same scene to obtain n images of the same size; each image obtained is divided according to the same division manner.
  • n and M are both greater than 1; one image is selected as the reference image among the obtained n images; and any region of the reference image is determined as a noise image based on a preset noise image region determination strategy
  • the region in the non-reference image of all n images, an area at the same position as each of the determined noise image regions is selected; a clear region is determined in each of the selected regions, and the clear region is the selection
  • the area of each of the regions where the noise amplitude is the smallest; each of the determined noise image regions in the reference image is replaced with a corresponding clear region.
  • FIG. 6 is a flowchart of a second embodiment of a method for implementing image noise reduction according to the present application. As shown in FIG. 6, the process includes:
  • Step 600 Taking n different exposure parameters for the same scene to obtain n images.
  • the environment of the same scene should not have obvious changes.
  • the obtained images are only different in the exposure parameters of the shooting device.
  • the first exposure parameter is aperture f3.5, shutter speed 1/30 second, sensitivity 250; the second exposure parameter is aperture f8, shutter speed 1/60 second, Sensitivity 250; the third exposure parameter is aperture f11, shutter speed 1/125 second, sensitivity 250; the fourth exposure parameter is aperture f16, shutter speed 1 / 250 second, sensitivity 250; the fifth exposure parameter is Aperture f22, shutter speed 1/500 second, sensitivity 250;
  • each area is numbered and determined according to the principle of arrangement from left to right and top to bottom.
  • the leftmost area of the first row is the first area, from left to right, the second to the tenth area; the second line from the left to the right is the 11th to the 20th, and so on, the 10th line from the left to the left
  • the right is the 91st to 100th areas.
  • Step 601 Select one image as the reference image among the obtained n images.
  • the different exposure parameters are arranged from low to high.
  • the sorting by the aperture size is f3.5, f8, f11, f16, and f22, respectively, and it can be seen that f11 is the intermediate value of the aperture size, and therefore, the aperture f11 is selected.
  • the shutter speed is 1/250 second, and the exposure parameter of the sensitivity 250 is used as the intermediate value of the exposure parameter, and the third image corresponding to the intermediate value of the exposure parameter is used as the reference image.
  • Step 602 Determine whether the i-th region in the reference image is a noise image region, if the i-th region is a noise image region, perform step 603; if the i-th region is not a noise image region, skip to step 605, the initial of i The value is 1.
  • the value of i ranges from 1 to 100, starting from the first region in the reference image, determining whether the i-th region is a noisy image region and marking the noise image according to a preset noise image region determination strategy.
  • Regional location e.g., the i-th region is a noisy image region and marking the noise image according to a preset noise image region determination strategy.
  • any one of the reference images is a noise image region based on a preset noise image region determination strategy; for example, the noise amplitude of the i-th region of the reference image is greater than five images.
  • the i-th region of the reference image is determined as a noise image region, and the position information of the noise image region is recorded.
  • the noise amplitude of the i-th region of the reference image is less than or equal to the set noise amplitude, the i-th region of the reference image is not the noise image region.
  • Step 603 Mark the noise image area, and select the area at the same position as each of the determined noise image areas among the non-reference images of all the n images based on the position of the noise image area marked in the reference image.
  • the 22nd area in the reference image determined according to step 602 is a noise image area, and the 22 images of the remaining 4 non-reference images are selected in addition to the third reference image in the obtained 5 images. Areas.
  • Step 604 Determine a clear area corresponding to the noise image area from the selected regions.
  • the step specifically includes: finding the region with the largest noise amplitude as the clear region by comparing the noise amplitude of the selected image region according to the selected region at the same position as the noise image region.
  • the 22nd region of the 5th image is marked as a clear region corresponding to the 22nd region of the reference image.
  • Step 605 Whether i is greater than or equal to the total number of division regions M of the reference image, and if so, all the regions in the reference image have been judged, and step 606 is performed; if not, the next region of the reference image is continuously detected, and step 607 is performed.
  • Step 606 performs noise image region replacement processing; if i is less than 100, it is necessary to continue to determine whether the next region of the reference image is a noise image region.
  • Step 606 After all the regions in the reference image have been judged, each determined noise image region in the reference image is replaced with a corresponding clear region.
  • Step 607 The reference image is not judged, and the i+1th region is continuously determined.
  • the value of i is incremented by 1, and the process returns to step 602 to continue to determine whether the i+1th region is a noise image region.
  • the embodiment of the present application further provides an apparatus for implementing image noise reduction.
  • FIG. 7 is a schematic structural diagram of a device for implementing image noise reduction according to an embodiment of the present disclosure. As shown in FIG. 7 , the device includes an obtaining module 700, a processing module 701, and a replacement module 702.
  • the obtaining module 700 is configured to respectively use n different exposure parameters for the same scene to obtain n images of the same size; each image obtained is divided into M regions according to the same division manner, n and M Both are greater than 1;
  • the processing module 701 is configured to select one image as the reference image among the obtained n images; and determine, according to the preset noise image region determining strategy, when any one of the reference image regions is determined to be a noise image region, at all n In the non-reference image of the image, an area at the same position as each of the determined noise image areas is selected;
  • a replacement module 702 configured to determine a clear area in each of the selected regions, where the clear area is an area with the smallest noise amplitude in each of the selected areas; and replace each determined noise image area in the reference image with Corresponding clear area.
  • the processing module 701 is further configured to obtain a noise amplitude of the i-th region of the n images, where i is less than or equal to M; correspondingly, the noise image region determining strategy is: the reference image When the noise amplitude of the i-th region is larger than the set noise amplitude, the i-th region of the reference image is determined as the noise image region.
  • the processing module 701 is further configured to: after obtaining the noise amplitude of the i-th region of the n images, obtain an average value of the obtained n noise amplitudes;
  • the set noise amplitude is less than or equal to an average of the n noise amplitudes.
  • the processing module 701 is specifically configured to use, as the reference image, an image corresponding to an intermediate value of the n different exposure parameters in the obtained n images.
  • the processing module is further configured to arrange the n different exposure parameters from low to high; when the number n of the exposure values is an odd number, among the n different exposure parameters after the arrangement, The (n+1)/2th exposure parameter is used as an intermediate value of the n different exposure parameters; when the number n of the exposure values is an even number, among the n different exposure parameters after the arrangement, The n/2th exposure parameter serves as an intermediate value of the n different exposure parameters.
  • the obtaining module 700, the processing module 701, and the replacing module 702 may each be a Central Processing Unit (CPU), a Micro Processor Unit (MPU), and a digital signal processor located in the terminal. (Digital Signal Processor, DSP), or Field Programmable Gate Array (FPGA) implementation.
  • CPU Central Processing Unit
  • MPU Micro Processor Unit
  • DSP Digital Signal Processor
  • FPGA Field Programmable Gate Array
  • the fourth embodiment of the present application provides a terminal, where the terminal includes any device for implementing image noise reduction according to the third embodiment of the present application.
  • the present application further provides a terminal, including:
  • a storage medium configured to store computer executable instructions
  • a processor configured to execute the computer executable instructions, the computer executable instructions comprising: respectively capturing n different exposure parameters for the same scene to obtain n images of the same size; each of the obtained images The image is divided into M regions according to the same division manner, and n and M are both greater than 1;
  • a clear area is determined in each of the selected areas, and the clear area is an area in which the noise amplitude is the smallest among the selected areas; each of the determined noise image areas in the reference image is replaced with a corresponding clear area.
  • the computer executable instructions further include:
  • i is less than or equal to M
  • the noise image region determining strategy determines that an ith region of the reference image is a noise image region when a noise amplitude of an i-th region of the reference image is greater than a set noise amplitude.
  • the computer executable instructions further include:
  • the set noise amplitude is less than or equal to an average of the n noise amplitudes.
  • the computer executable instructions further include:
  • an image corresponding to the intermediate values of the n different exposure parameters is used as a reference image.
  • the computer executable instructions further include:
  • the (n+1)/2th exposure parameter is used as an intermediate value of the n different exposure parameters
  • the n/2th exposure parameter is used as an intermediate value of the n different exposure parameters.
  • the application further provides a computer storage medium, where the computer storage medium stores computer executable instructions, and the computer executable instructions include:
  • any one of the reference image is a noise image region, selecting, in the non-reference image of all n images, the same position as each of the determined noise image regions Area;
  • a clear area is determined in each of the selected areas, and the clear area is an area in which the noise amplitude is the smallest among the selected areas; each of the determined noise image areas in the reference image is replaced with a corresponding clear area.
  • the computer executable instructions further include:
  • i is less than or equal to M
  • the noise image region determining strategy determines that an ith region of the reference image is a noise image region when a noise amplitude of an i-th region of the reference image is greater than a set noise amplitude.
  • the computer executable instructions further include:
  • the set noise amplitude is less than or equal to an average of the n noise amplitudes.
  • the computer executable instructions further include:
  • an image corresponding to the intermediate values of the n different exposure parameters is used as a reference image.
  • the computer executable instructions further include:
  • the (n+1)/2th exposure parameter is used as an intermediate value of the n different exposure parameters
  • the n/2th exposure parameter is used as an intermediate value of the n different exposure parameters.
  • embodiments of the present application can be provided as a method, system, or computer program product. Accordingly, the application can take the form of a hardware embodiment, a software embodiment, or an embodiment in combination with software and hardware. Moreover, the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) including computer usable program code.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.
  • Method, device, terminal and computer storage for realizing image noise reduction provided by embodiments of the present application
  • the medium is photographed by using n different exposure parameters for the same scene to obtain n images of the same size; each image obtained is divided into M regions according to the same division manner, and n and M are both greater than 1; Selecting one image as the reference image among the obtained n images; determining a non-reference image of all n images when any one of the reference image is determined as a noise image region based on a preset noise image region determination strategy And selecting an area at the same position as each of the determined noise image areas; determining a clear area in each of the selected areas, wherein the clear area is the area with the smallest noise amplitude in each of the selected areas; Each of the determined noise image regions in the reference image is replaced with a corresponding clear region.
  • the embodiment of the present application can effectively solve the problem that the local noise of the image is large when the image is captured, improve the image quality, and improve the user experience.

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Abstract

本申请实施例公开了一种图像降噪的方法、装置、终端及计算机存储介质，该方法包括：针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域；在得出的n幅图像中选取一幅图像作为基准图像；基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。

Description

一种实现图像降噪的方法、装置和终端及计算机存储介质
相关申请的交叉引用
本申请基于申请号为201610619310.0、申请日为2016年07月29日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本申请涉及图像处理技术领域，尤其涉及一种实现图像降噪的方法、装置、终端及计算机存储介质。
背景技术
目前，具有拍摄功能的设备越来越普及，比如终端、相机等，用户在拍摄一幅图像时都是利用同一曝光参数；由于各种客观因素的存在，所拍摄的图像会不可避免地存在噪声，另外，在拍摄的图像中，往往同时存在噪声幅度大和噪声幅度小的区域，如此，降低了图像质量。
发明内容
为解决上述技术问题，本申请实施例期望提供一种实现图像降噪的方法、装置和终端，以解决拍摄图像时引起的图像局部噪声大的问题，提高图像质量，提升用户体验。
为达到上述目的，本申请实施例的技术方案是这样实现的：
本申请实施例提供了一种实现图像降噪的方法，所述方法包括：
针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；
在得出的n幅图像中选取一幅图像作为基准图像；
基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；
在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。
上述方案中，所述方法还包括：得出所述n幅图像第i个区域的噪声幅度，i小于等于M；
所述噪声图像区域确定策略为：所述基准图像的第i个区域的噪声幅度大于设定噪声幅度时，将所述基准图像的第i区域确定为噪声图像区域。
上述方案中，在得出n幅图像第i个区域的噪声幅度后，所述方法还包括：获取所得出的n个噪声幅度的平均值；
相应地，所述设定噪声幅度小于等于所述n个噪声幅度的平均值。
上述方案中，所述在得出的n幅图像中选取一幅图像作为基准图像，包括：
在得出的n幅图像中，将所述n个不同的曝光参数的中间值对应的图像作为基准图像。
上述方案中，所述方法还包括：
将所述n个不同的曝光参数从低到高进行排列；
所述曝光值的个数n为奇数时，在排列后的n个不同的曝光参数中，将第(n+1)/2个曝光参数作为所述n个不同的曝光参数的中间值；
所述曝光值的个数n为偶数时，在排列后的n个不同的曝光参数中，将第n/2个曝光参数作为所述n个不同的曝光参数的中间值。
本申请实施例还提供了一种实现图像降噪的装置，所述装置包括：获取模块、处理模块和替换模块；其中，
获取模块，用于针对同一场景分别利用n个不同的曝光参数进行拍摄，得 出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；
处理模块，用于在得出的n幅图像中选取一幅图像作为基准图像；基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；
替换模块，用于在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。
上述方案中，所述处理模块，还用于得出所述n幅图像第i个区域的噪声幅度，i小于等于M；
相应地，所述噪声图像区域确定策略为：所述基准图像的第i个区域的噪声幅度大于设定噪声幅度时，将所述基准图像的第i区域确定为噪声图像区域。
上述方案中，所述处理模块，还用于在得出所述n幅图像第i个区域的噪声幅度后，获取所得出的n个噪声幅度的平均值；
相应地，所述设定噪声幅度小于等于所述n个噪声幅度的平均值。
上述方案中，所述处理模块，具体用于在得出的n幅图像中，将所述n个不同的曝光参数的中间值对应的图像作为基准图像。
本申请实施例还提供了一种终端，所述终端包括上述任意一种实现图像降噪的装置。
本申请实施例还提供了一种终端，包括：
存储介质，配置为存储计算机可执行指令；
存储介质，配置为存储计算机可执行指令；
处理器，配置为执行所述计算机可执行指令，所述计算机可执行指令包括针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；
在得出的n幅图像中选取一幅图像作为基准图像；
基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；
在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。
上述方案中，所述计算机可执行指令还包括：
得出所述n幅图像第i个区域的噪声幅度，i小于等于M；
所述噪声图像区域确定策略为：所述基准图像的第i个区域的噪声幅度大于设定噪声幅度时，将所述基准图像的第i区域确定为噪声图像区域。
上述方案中，所述计算机可执行指令还包括：
获取所得出的n个噪声幅度的平均值；
相应地，所述设定噪声幅度小于等于所述n个噪声幅度的平均值。
上述方案中，所述计算机可执行指令还包括：
在得出的n幅图像中，将所述n个不同的曝光参数的中间值对应的图像作为基准图像。
上述方案中，所述计算机可执行指令还包括：
将所述n个不同的曝光参数从低到高进行排列；
所述曝光值的个数n为奇数时，在排列后的n个不同的曝光参数中，将第(n+1)/2个曝光参数作为所述n个不同的曝光参数的中间值；
所述曝光值的个数n为偶数时，在排列后的n个不同的曝光参数中，将第n/2个曝光参数作为所述n个不同的曝光参数的中间值。
本申请实施例还提供了一种计算机存储介质，所述计算机存储介质中存储有计算机可执行指令，所述计算机可执行指令包括：
针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n 幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；
在得出的n幅图像中选取一幅图像作为基准图像；
基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；
在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。
上述方案中，所述计算机可执行指令还包括：
得出所述n幅图像第i个区域的噪声幅度，i小于等于M；
所述噪声图像区域确定策略为：所述基准图像的第i个区域的噪声幅度大于设定噪声幅度时，将所述基准图像的第i区域确定为噪声图像区域。
上述方案中，所述计算机可执行指令还包括：
获取所得出的n个噪声幅度的平均值；
相应地，所述设定噪声幅度小于等于所述n个噪声幅度的平均值。
上述方案中，所述计算机可执行指令还包括：
在得出的n幅图像中，将所述n个不同的曝光参数的中间值对应的图像作为基准图像。
上述方案中，所述计算机可执行指令还包括：
将所述n个不同的曝光参数从低到高进行排列；
所述曝光值的个数n为奇数时，在排列后的n个不同的曝光参数中，将第(n+1)/2个曝光参数作为所述n个不同的曝光参数的中间值；
所述曝光值的个数n为偶数时，在排列后的n个不同的曝光参数中，将第n/2个曝光参数作为所述n个不同的曝光参数的中间值。
本申请实施例提供的一种实现图像降噪的方法、装置、终端及计算机存储 介质，针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；在得出的n幅图像中选取一幅图像作为基准图像；基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。本申请实施例可以有效地解决拍摄图像时引起的图像局部噪声大的问题，提高图像质量，提升用户体验。
附图说明
图1为实现本申请各个实施例一个可选的终端的硬件结构示意图；
图2为如图1所示的终端的无线通信系统示意图；
图3为本申请第一实施例涉及的一个终端正视图；
图4为本申请第一实施例涉及的一个终端后视图；
图5为本申请实现图像降噪的方法的第一实施例的流程图；
图6为本申请实现图像降噪的方法的第二实施例的流程图；
图7为本申请实施例实现图像降噪的装置的组成结构示意图。
具体实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。
现在将参考附图描述实现本申请各个实施例的终端。在后续的描述中，使用用于表示元件的诸如“模块”、“部件”或“单元”的后缀仅为了有利于本申请的说明，其本身并没有特定的意义。因此，"模块"与"部件"可以混合地使用。
终端可以以各种形式来实施。例如，本申请实施例中描述的终端可以包括诸如移动电话、智能电话、笔记本电脑、数字广播接收器、个人数字助理(PDA)、 平板电脑(PAD)、便携式多媒体播放器(PMP)、导航装置等等的终端以及诸如数字TV、台式计算机等等的固定终端。下面，假设终端是终端。然而，本领域技术人员将理解的是，除了特别用于移动目的的元件之外，根据本申请的实施方式的构造也能够应用于固定类型的终端。
图1为实现本申请各个实施例一个可选的终端的硬件结构示意图。
终端100可以包括无线通信单元110、音频/视频(A/V)输入单元120、用户输入单元130、输出单元140、存储器150、控制器160和电源单元170等等。图1示出了具有各种组件的终端，但是应理解的是，并不要求实施所有示出的组件。可以替代地实施更多或更少的组件。将在下面详细描述终端的元件。
无线通信单元110通常包括一个或多个组件，其允许终端100与无线通信系统或网络之间的无线电通信。例如，无线通信单元可以包括广播接收模块111、移动通信模块112、无线互联网模块113、短程通信模块114和位置信息模块115中的至少一个。
广播接收模块111经由广播信道从外部广播管理服务器接收广播信号和/或广播相关信息。广播信道可以包括卫星信道和/或地面信道。广播管理服务器可以是生成并发送广播信号和/或广播相关信息的服务器或者接收之前生成的广播信号和/或广播相关信息并且将其发送给终端的服务器。广播信号可以包括TV广播信号、无线电广播信号、数据广播信号等等。而且，广播信号可以进一步包括与TV或无线电广播信号组合的广播信号。广播相关信息也可以经由移动通信网络提供，并且在该情况下，广播相关信息可以由移动通信模块112来接收。广播信号可以以各种形式存在，例如，其可以以数字多媒体广播(DMB)的电子节目指南(EPG)、数字视频广播手持(DVB-H)的电子服务指南(ESG)等等的形式而存在。广播接收模块111可以通过使用各种类型的广播系统接收信号广播。特别地，广播接收模块111可以通过使用诸如多媒体广播-地面(DMB-T)、数字多媒体广播-卫星(DMB-S)、数字视频广播-手持(DVB-H)，前向链路媒体(MediaFLO@)的数据广播系统、地面数字广播综合服务(ISDB-T)等等的 数字广播系统接收数字广播。广播接收模块111可以被构造为适合提供广播信号的各种广播系统以及上述数字广播系统。经由广播接收模块111接收的广播信号和/或广播相关信息可以存储在存储器150(或者其它类型的存储介质)中。
移动通信模块112将无线电信号发送到基站(例如，接入点、节点B等等)、外部终端以及服务器中的至少一个和/或从其接收无线电信号。这样的无线电信号可以包括语音通话信号、视频通话信号、或者根据文本和/或多媒体消息发送和/或接收的各种类型的数据。
无线互联网模块113支持终端的无线互联网接入。该模块可以内部或外部地耦接到终端。该模块所涉及的无线互联网接入技术可以包括无线局域网(WLAN)(Wi-Fi)、无线宽带(Wibro)、全球微波互联接入(Wimax)、高速下行链路分组接入(HSDPA)等等。
短程通信模块114是用于支持短程通信的模块。短程通信技术的一些示例包括蓝牙TM、射频识别(RFID)、红外数据协会(IrDA)、超宽带(UWB)、紫蜂TM等等。
位置信息模块115是用于检查或获取终端的位置信息的模块。位置信息模块的典型示例是全球定位系统(GPS)。根据当前的技术，GPS模块115计算来自三个或更多卫星的距离信息和准确的时间信息并且对于计算的信息应用三角测量法，从而根据经度、纬度和高度准确地计算三维当前位置信息。当前，用于计算位置和时间信息的方法使用三颗卫星并且通过使用另外的一颗卫星校正计算出的位置和时间信息的误差。此外，GPS模块115能够通过实时地连续计算当前位置信息来计算速度信息。
A/V输入单元120用于接收音频或视频信号。A/V输入单元120可以包括相机121，相机121对在视频捕获模式或图像捕获模式中由图像捕获装置获得的静态图片或视频的图像数据进行处理。处理后的图像帧可以显示在显示单元141上。经相机121处理后的图像帧可以存储在存储器150(或其它存储介质)中或者经由无线通信单元110进行发送，可以根据终端的构造提供两个或更多相机121。 用户输入单元130可以根据用户输入的命令生成键输入数据以控制终端的各种操作。用户输入单元130允许用户输入各种类型的信息，并且可以包括键盘、锅仔片、触摸板(例如，检测由于被接触而导致的电阻、压力、电容等变化的触敏组件)、滚轮、摇杆等等。特别地，当触摸板以层的形式叠加在显示单元141上时，可以形成触摸屏。
输出单元140被构造为以视觉、音频和/或触觉方式提供输出信号(例如，音频信号、视频信号、警报信号、振动信号等等)。输出单元140可以包括显示单元141。
显示单元141可以显示在终端100中处理的信息。例如，当终端100处于电话通话模式时，显示单元141可以显示与通话或其它通信(例如，文本消息收发、多媒体文件下载等等)相关的用户界面(User's Interface，UI)或图形用户界面(GUI)。当终端100处于视频通话模式或者图像捕获模式时，显示单元141可以显示捕获的图像和/或接收的图像、示出视频或图像以及相关功能的UI或GUI等等。
同时，当显示单元141和触摸板以层的形式彼此叠加以形成触摸屏时，显示单元141可以用作输入装置和输出装置。显示单元141可以包括液晶显示器(LCD)、薄膜晶体管LCD(TFT-LCD)、有机发光二极管(OLED)显示器、柔性显示器、三维(3D)显示器等等中的至少一种。这些显示器中的一些可以被构造为透明状以允许用户从外部观看，这可以称为透明显示器，典型的透明显示器可以例如为透明有机发光二极管(TOLED)显示器等等。根据特定想要的实施方式，终端100可以包括两个或更多显示单元(或其它显示装置)，例如，终端可以包括外部显示单元(未示出)和内部显示单元(未示出)。触摸屏可用于检测触摸输入压力以及触摸输入位置和触摸输入面积。
存储器150可以存储由控制器160执行的处理和控制操作的软件程序等等，或者可以暂时地存储已经输出或将要输出的数据(例如，电话簿、消息、静态图像、视频等等)。而且，存储器150可以存储关于当触摸施加到触摸屏时输出 的各种方式的振动和音频信号的数据。
存储器150可以包括至少一种类型的存储介质，所述存储介质包括闪存、硬盘、多媒体卡、卡型存储器(例如，SD或DX存储器等等)、随机访问存储器(RAM)、静态随机访问存储器(SRAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、可编程只读存储器(PROM)、磁性存储器、磁盘、光盘等等。而且，终端100可以与通过网络连接执行存储器150的存储功能的网络存储装置协作。
控制器160通常控制终端的总体操作。例如，控制器160执行与语音通话、数据通信、视频通话等等相关的控制和处理。另外，控制器160可以包括用于再现(或回放)多媒体数据的多媒体模块161，多媒体模块161可以构造在控制器160内，或者可以构造为与控制器160分离。控制器160可以执行模式识别处理，以将在触摸屏上执行的手写输入或者图片绘制输入识别为字符或图像。
电源单元170在控制器160的控制下接收外部电力或内部电力并且提供操作各元件和组件所需的适当的电力。
这里描述的各种实施方式可以以使用例如计算机软件、硬件或其任何组合的计算机可读介质来实施。对于硬件实施，这里描述的实施方式可以通过使用特定用途集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理装置(DSPD)、可编程逻辑装置(PLD)、现场可编程门阵列(FPGA)、处理器、控制器、微控制器、微处理器、被设计为执行这里描述的功能的电子单元中的至少一种来实施，在一些情况下，这样的实施方式可以在控制器160中实施。对于软件实施，诸如过程或功能的实施方式可以与允许执行至少一种功能或操作的单独的软件模块来实施。软件代码可以由以任何适当的编程语言编写的软件应用程序(或程序)来实施，软件代码可以存储在存储器150中并且由控制器160执行。
至此，已经按照其功能描述了终端。下面，为了简要起见，将描述诸如折叠型、直板型、摆动型、滑动型终端等等的各种类型的终端中的滑动型终端作 为示例。因此，本申请能够应用于任何类型的终端，并且不限于滑动型终端。
如图1中所示的终端100可以被构造为利用经由帧或分组发送数据的诸如有线和无线通信系统以及基于卫星的通信系统来操作。
现在将参考图2描述其中根据本申请的终端能够操作的通信系统。
这样的通信系统可以使用不同的空中接口和/或物理层。例如，由通信系统使用的空中接口包括例如频分多址(FDMA)、时分多址(TDMA)、码分多址(CDMA)和通用移动通信系统(UMTS)(特别地，长期演进(LTE))、全球移动通信系统(GSM)等等。作为非限制性示例，下面的描述涉及CDMA通信系统，但是这样的教导同样适用于其它类型的系统。
参考图2，CDMA无线通信系统可以包括多个终端100、多个基站(BS)270、基站控制器(BSC)275和移动交换中心(MSC)280。MSC280被构造为与公共电话交换网络(PSTN)290形成接口。MSC280还被构造为与可以经由回程线路耦接到基站270的BSC275形成接口。回程线路可以根据若干已知的接口中的任一种来构造，所述接口包括例如E1/T1、ATM，IP、PPP、帧中继、HDSL、ADSL或xDSL。将理解的是，如图2中所示的系统可以包括多个BSC275。
每个BS270可以服务一个或多个分区(或区域)，由多向天线或指向特定方向的天线覆盖的每个分区放射状地远离BS270。或者，每个分区可以由用于分集接收的两个或更多天线覆盖。每个BS270可以被构造为支持多个频率分配，并且每个频率分配具有特定频谱(例如，1.25MHz,5MHz等等)。
分区与频率分配的交叉可以被称为CDMA信道。BS270也可以被称为基站收发器子系统(BTS)或者其它等效术语。在这样的情况下，术语“基站”可以用于笼统地表示单个BSC275和至少一个BS270。基站也可以被称为“蜂窝站”。或者，特定BS270的各分区可以被称为多个蜂窝站。
如图2中所示，广播发射器(BT)295将广播信号发送给在系统内操作的终端100。如图1中所示的广播接收模块111被设置在终端100处以接收由BT295发送的广播信号。在图2中，示出了几个全球定位系统(GPS)卫星300。卫星300 帮助定位多个终端100中的至少一个。
在图2中，描绘了多个卫星300，但是理解的是，可以利用任何数目的卫星获得有用的定位信息。如图1中所示的GPS模块115通常被构造为与卫星300配合以获得想要的定位信息。替代GPS跟踪技术或者在GPS跟踪技术之外，可以使用可以跟踪终端的位置的其它技术。另外，至少一个GPS卫星300可以选择性地或者额外地处理卫星DMB传输。
作为无线通信系统的一个典型操作，BS270接收来自各种终端100的反向链路信号。终端100通常参与通话、消息收发和其它类型的通信。特定基站270接收的每个反向链路信号被在特定BS270内进行处理。获得的数据被转发给相关的BSC275。BSC提供通话资源分配和包括BS270之间的软切换过程的协调的移动管理功能。BSC275还将接收到的数据路由到MSC280，其提供用于与PSTN290形成接口的额外的路由服务。类似地，PSTN290与MSC280形成接口，MSC与BSC275形成接口，并且BSC275相应地控制BS270以将正向链路信号发送到终端100。
基于上述终端硬件结构以及通信系统，提出本申请各个实施例。
第一实施例
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述。
本申请第一实施例提出了一种实现图像降噪的方法，可以应用于设置有拍摄功能的终端中。
这里，上述记载的终端可以是具有显示屏的固定终端，也可以是具有显示屏的终端。
上述记载的固定终端可以是计算机等，上述记载的终端包括但不限于移动电话、笔记本电脑、相机、PDA、PAD、PMP、导航装置等等。
这里，终端如果具有操作系统，该操作系统可以为UNIX、Linux、Windows、安卓(Android)、Windows Phone等等。
需要说明的是，对终端上的显示屏的种类、形状、大小等不进行限制，示例性的，终端上的显示屏可以是液晶显示屏等。
在本申请第一实施例中，上述记载的显示屏用于向用户提供人机交互的界面，在上述记载的终端为手机时，图3为本申请第一实施例中涉及的终端的正视图，图4为本申请第一实施例中涉及的终端的后视图。
图5为本申请实现图像降噪的方法的第一实施例的流程图，如图5所示，该方法包括：
步骤500：针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1。
在实际应用中，针对同一场景，分别利用n个不同的曝光参数进行拍摄，所应用的拍摄设备为具有拍摄功能的任何设备，比如具有拍摄功能的终端、相机等设备；
这里，对同一场景的拍摄，包括选择白天或者黑夜中任何一个场景，没有任何的时间和地点限定。
在一个示例中，上述曝光参数可以包括快门速度、光圈大小、感光度；如此，在选取n个不同曝光参数时，可以根据所选择的拍摄场景光线的分布、人、物所处的状态等因素，利用人眼观察设备的成像效果选取一个适合用于所选场景的曝光参数。
以选取的曝光参数为基准曝光参数，分别在所述基准曝光参数上下范围内选取合适个数的不同曝光参数；例如，可以在所选基准曝光参数上下范围内选取5至15个不同的曝光参数。
优选地，在选取合适个数的不同曝光参数时，可以在所选基准曝光参数的基础上等间距的增大或等间距的减小曝光参数，以得出多个不同的曝光参数。
这里，在选取合适个数的不同曝光参数时，还可以在改变所选基准曝光参数的基础上，改变快门速度、光圈大小、感光度中的任何一个、两个或三个； 也可以根据所选场景的情况、实际经验，适当地改变基准曝光参数，以得出合适个数的不同曝光参数。
可以理解的是，拍摄设备会自动记录所拍摄的图像对应的曝光参数，并将对应的曝光参数进行存储；例如，对于在拍摄设备为手机上设置的相机时，可以讲所拍摄的图像对应的曝光参数存储到手机的存储中。
本步骤中，将获得的每幅图像按照相同的划分方式划分为M个区域，可以包括：
在得出n幅图像后，将得到的每幅图像按照相同的划分方式进行区域分割，这里，并不限定某一种或几种划分方式，在实际实施时，可以依据所拍摄场景的详细情况选择合适的图像区域划分方式；例如依据图像像素点的排列特点可以将图像区域划分为相同形状的矩形方块。
步骤501：在得出的n幅图像中选取一幅图像作为基准图像。
示例性的，可以将拍摄的n副图像对应的n个不同的曝光参数的中间值对应的图像作为基准图像。
下面说明曝光参数中间值的一种选取方式：
首先将选择的n个不同的曝光参数从低到高进行排列。
当曝光值的个数n为奇数时，在排列后的n个不同的曝光参数中，将第(n+1)/2个曝光参数作为所述n个不同的曝光参数的中间值；当曝光值的个数n为偶数时，在排列后的n个不同的曝光参数中，将第n/2个曝光参数或第n/2+1个曝光参数作为所述n个不同的曝光参数的中间值。
分别针对n为奇数和偶数的情况进行举例说明。
当n取5时，利用公式(n+1)/2将第3个曝光参数作为曝光参数的中间值；当n取10时，将第5个曝光参数或第6个曝光参数作为曝光参数的中间值。
本步骤中，对不同的曝光参数从低到高进行排列时，可以依据曝光参数中包括的快门速度、光圈大小、感光度三个参数中任何一个作为排列依据，如对所有拍摄图像对应的光圈大小进行从低到高的排列，以此来排列所对应的曝光 参数的顺序。
步骤502：基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域。
本步骤中，需要基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域是否为噪声图像区域。
可以理解的是，需要在图像划分后的M个区域中，根据每个区域的图像参数，判断对应的区域是否为噪声图像区域，下面进行示例说明。
示例性的，首先得出所述n幅图像第i个区域的噪声幅度，i小于等于M。
相应的，上述噪声图像区域确定策略为：所述基准图像的第i个区域的噪声幅度大于设定噪声幅度时，将所述基准图像的第i区域确定为噪声图像区域。
这里，可以记录噪声图像区域的位置信息。在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域。
可选地，在得出n幅图像第i个区域的噪声幅度后，还可以获取所得出的n个噪声幅度的平均值。
相应地，所述设定噪声幅度小于等于所述n个噪声幅度的平均值；例如，所述设定噪声幅度为所述n个噪声幅度的平均值，或者为所述n个噪声幅度的平均值的0.8倍。
需要说明的是，在基准图像的第i个区域的噪声幅度小于等于设定噪声幅度时，上述基准图像的第i个区域不是噪声图像区域。
这里，图像噪声用于表示像中各种妨碍人们对其信息接受的因素，将图像噪声看成是多维随机过程是合适的，因而描述图像噪声的方法完全可以借用随机过程的描述，即用其概率分布函数和概率密度分布函数。
图像噪声的噪声幅度分布可以是高斯分布，也可以是雷利分布。
在实际实施中，可以将图像划分的M个区域位置进行编号区分，i为从1到M的整数。
本申请实施例中，可以利用一定数量的横线和竖线将每幅图像划分为相同形状的矩形方块，矩形方块表示划分出的图像区域；在划分出矩形方块后，第1行最左端的区域为第1个区域，从左往右依次为第2、第3、第4区域等等；当j大于1时，第j行的最左端区域的序号顺延第j-1行最右端区域的序号，第j行图像区域的序号的排列方式与第1行相同；如此，确定出上述M个区域的序号。
本步骤中，所有n幅图像的非基准图像为：在所有n幅图像中除去所选基准图像后的剩余的每个图像。
对于在所有n幅图像的非基准图像中，选取与每个确定出的每个噪声图像区域处在相同位置的区域的过程，下面进行举例说明：
针对同一场景分别利用6个不同的曝光参数进行拍摄，基准图像中第3个区域为噪声图像区域，在其余5幅非基准的图像中，选取每幅图像的第3个区域作为：与相应噪声图像区域处在相同位置的区域。
步骤503：在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。
示例性的，可以根据选取出与每个确定出的噪声图像区域处在相同位置的区域，通过比较所选取的图像区域的噪声幅度，找出噪声幅度最大的区域作为清晰区域。
例如，共拍摄到6幅图像，其中第3幅图像为基准图像，基准图像中第4个区域为噪声图像区域，第1幅图像、第2幅图像、第4幅图像、第5幅图像、第6幅图像为非基准图像，选取所有非基准图像的第4个区域作为：与相应噪声图像区域处在相同位置的区域；之后，比较所有非基准图像的第4个区域的图像参数，得出第1幅非基准图像的第4个区域的噪声幅度最大，那么基准图像中第4个区域对应的清晰区域就为第1幅图像的第4个区域。
本步骤中，上述将基准图像中每个确定出的噪声图像区域替换为对应的清 晰区域包括：将基准图像中的噪声图像区域进行图像分割，以剔除基准图像中的噪声图像区域。
在实际实施时，图像分割技术可以是：基于阈值的分割技术、基于区域特性的分割技术、基于边缘的分割技术以及基于特定理论的分割方法等。
在将基准图像中的噪声图像区域进行图像分割后，将选择出的清晰区域与分割出噪声图像区域的基准图像进行图像合成，图像合成技术可以采用：泊松图像编辑技术、拖拉算法等。
本申请实施例提出的实现图像降噪的方法中，针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；在得出的n幅图像中选取一幅图像作为基准图像；基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。显然，与现有技术相比，本申请实施例可以有效地解决拍摄图像时引起的图像局部噪声大的问题，提高图像质量，提升用户体验。
第二实施例
为了能更加体现本申请的目的，在本申请第一实施例的基础上，进行进一步的举例说明。
图6为本申请实现图像降噪的方法的第二实施例的流程图，如图6所示，该流程包括：
步骤600：对同一场景分别利用n个不同的曝光参数进行拍摄，获取n幅图像。
在实际应用中，同一场景的环境不应有明显的变化，理论上，所获得的图像仅有拍摄设备曝光参数的不同。
示例性的，给出5个不同曝光参数，获得5幅尺寸为1900×1400的图像，将获得的5幅图像按照相同的划分方式划分为10行×10列的矩形区域，每个区域的尺寸为190×140，并将每个区域进行编号区分。
这里，5个不同的曝光参数可以选择中，第1个曝光参数为光圈f3.5，快门速度1/30秒，感光度250；第2个曝光参数为光圈f8，快门速度1/60秒，感光度250；第3个曝光参数为光圈f11，快门速度1/125秒，感光度250；第4个曝光参数为光圈f16，快门速度1/250秒，感光度250；第5个曝光参数为光圈f22，快门速度1/500秒，感光度250；
可选的，将100个区域按照从左往右、从上到下的排列原则，对每个区域进行编号确定位置。第1行最左端的区域为第1个区域，从左往右依次为第2到第10区域；第二行从左往右依次为第11到第20区域等等，第10行从左往右依次为第91到第100区域。
步骤601：在得出的n幅图像中选取一幅图像作为基准图像。
本步骤中，对不同的曝光参数从低到高进行排列，我们可以选择依据曝光参数中光圈大小对曝光参数进行排序；然后，选择曝光参数的中间值。
示例性的，在设置的5个不同曝光参数中，按光圈大小进行排序分别为f3.5、f8、f11、f16、f22，可以看出f11为光圈大小的中间值，因此，选择光圈f11，快门速度1/250秒，感光度250的曝光参数作为曝光参数的中间值，将曝光参数中间值对应的第3幅图像作为基准图像。
步骤602：判断基准图像中第i个区域是否为噪声图像区域，如果第i个区域是噪声图像区域，执行步骤603；如果第i个区域不是噪声图像区域，则跳到步骤605，i的初始值为1。
示例性的，i的取值范围从1到100，从基准图像中第1个区域开始，按照预先设置的噪声图像区域确定策略，判断第i个区域是否为噪声图像区域，并标记出噪声图像区域位置。
本步骤中，需要在图像划分后的100个区域中，依据每个区域的噪声幅度 进行判断，显然，需要得出所拍摄出的5幅图像第i个区域的噪声幅度、并获取5幅图像第i个区域的噪声幅度的平均值，i小于等于100。
可以理解的是，还需要基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域是否为噪声图像区域；示例性的，基准图像的第i个区域的噪声幅度大于5幅图像第i个区域的噪声幅度的平均值时，将所述基准图像的第i个区域确定为噪声图像区域，并记录噪声图像区域的位置信息。
在所有5幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域。
需要说明的是，基准图像的第i个区域的噪声幅度小于等于设定噪声幅度时，所述基准图像的第i个区域不是噪声图像区域。
步骤603：标记出噪声图像区域，以基准图像中标记出的噪声图像区域位置为依据，在所有n幅图像的非基准图像中选取与每个确定出的噪声图像区域处在相同位置的区域。
示例性的，根据步骤602判断出的基准图像中第22个区域为噪声图像区域，在所获得的5幅图像中，除去第3幅基准图像外，选出其余4幅非基准图像的第22个区域。
步骤604：从选取出的各个区域中确定出与噪声图像区域相对应的清晰区域。
本步骤具体包括，根据选取出的与噪声图像区域处在相同位置的区域，通过比较所选取的图像区域的噪声幅度，找出噪声幅度最大的区域作为清晰区域。
示例性的，如果第5幅图像的第22个区域的噪声幅度最大，就将第5幅图像的第22个区域标记为：与基准图像第22个区域相对应的清晰区域。
步骤605：i是否大于等于基准图像总的划分区域数M，如果是，则基准图像中所有区域均已被判断，执行步骤606；如果不是，继续检测基准图像的下一个区域，执行步骤607。
示例性的，如果i大于等于100，则所有的区域均已被判断完，需要按照步 骤606进行噪声图像区域替换处理；如果i小于100，则需要继续判断基准图像的下一个区域是否为噪声图像区域。
步骤606：基准图像中所有区域均已被判断后，将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。
具体的，将所有区域判断后，分割出所有噪声图像区域，将确定出的清晰区域与分割出噪声图像区域后的基准图像进行合成。
步骤607：基准图像未被判断完，继续判断第i+1个区域。
具体的，将i的值加1，返回步骤602，继续判断第i+1个区域是否为噪声图像区域。
第三实施例
针对本申请实施例的方法，本申请实施例还提供了一种实现图像降噪的装置。
图7为本申请实施例实现图像降噪的装置的组成结构示意图，如图7所示，该装置包括获取模块700、处理模块701和替换模块702；其中，
获取模块700，用于针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；
处理模块701，用于在得出的n幅图像中选取一幅图像作为基准图像；基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；
替换模块702，用于在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。
进一步地，所述处理模块701，还用于得出所述n幅图像第i个区域的噪声幅度，i小于等于M；相应地，所述噪声图像区域确定策略为：所述基准图像 的第i个区域的噪声幅度大于设定噪声幅度时，将所述基准图像的第i区域确定为噪声图像区域。
所述处理模块701，还用于在得出所述n幅图像第i个区域的噪声幅度后，获取所得出的n个噪声幅度的平均值；
相应地，所述设定噪声幅度小于等于所述n个噪声幅度的平均值。
可选地，所述处理模块701，具体用于在得出的n幅图像中，将所述n个不同的曝光参数的中间值对应的图像作为基准图像。
所述处理模块，还用于将所述n个不同的曝光参数从低到高进行排列；在所述曝光值的个数n为奇数时，在排列后的n个不同的曝光参数中，将第(n+1)/2个曝光参数作为所述n个不同的曝光参数的中间值；在所述曝光值的个数n为偶数时，在排列后的n个不同的曝光参数中，将第n/2个曝光参数作为所述n个不同的曝光参数的中间值。
在实际应用中，所述获取模块700、处理模块701和替换模块702均可由位于终端中的中央处理器(Central Processing Unit，CPU)、微处理器(Micro Processor Unit，MPU)、数字信号处理器(Digital Signal Processor，DSP)、或现场可编程门阵列(Field Programmable Gate Array，FPGA)等实现。
第四实施例
本申请第四实施例提供了一种终端，该终端包括本申请第三实施例的任意一种实现图像降噪的装置。
结合前述实施例，本申请还提供了一种终端，包括：
存储介质，配置为存储计算机可执行指令；
处理器，配置为执行所述计算机可执行指令，所述计算机可执行指令包括：针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；
在得出的n幅图像中选取一幅图像作为基准图像；
基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区 域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；
在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。
其中，所述计算机可执行指令还包括：
得出所述n幅图像第i个区域的噪声幅度，i小于等于M；
所述噪声图像区域确定策略为：所述基准图像的第i个区域的噪声幅度大于设定噪声幅度时，将所述基准图像的第i区域确定为噪声图像区域。
其中，所述计算机可执行指令还包括：
获取所得出的n个噪声幅度的平均值；相应地，所述设定噪声幅度小于等于所述n个噪声幅度的平均值。
其中，所述计算机可执行指令还包括：
在得出的n幅图像中，将所述n个不同的曝光参数的中间值对应的图像作为基准图像。
其中，所述计算机可执行指令还包括：
将所述n个不同的曝光参数从低到高进行排列；
所述曝光值的个数n为奇数时，在排列后的n个不同的曝光参数中，将第(n+1)/2个曝光参数作为所述n个不同的曝光参数的中间值；
所述曝光值的个数n为偶数时，在排列后的n个不同的曝光参数中，将第n/2个曝光参数作为所述n个不同的曝光参数的中间值。
需要指出的是，本申请提供的终端还能够提供前述方法中的各个步骤，只是这里不再进行赘述。
进一步地，本申请还提供一种计算机存储介质，所述计算机存储介质中存储有计算机可执行指令，所述计算机可执行指令包括：
针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n 幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；
在得出的n幅图像中选取一幅图像作为基准图像；
基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；
在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。
其中，所述计算机可执行指令还包括：
得出所述n幅图像第i个区域的噪声幅度，i小于等于M；
所述噪声图像区域确定策略为：所述基准图像的第i个区域的噪声幅度大于设定噪声幅度时，将所述基准图像的第i区域确定为噪声图像区域。
其中，所述计算机可执行指令还包括：
获取所得出的n个噪声幅度的平均值；
相应地，所述设定噪声幅度小于等于所述n个噪声幅度的平均值。
其中，所述计算机可执行指令还包括：
在得出的n幅图像中，将所述n个不同的曝光参数的中间值对应的图像作为基准图像。
其中，所述计算机可执行指令还包括：
将所述n个不同的曝光参数从低到高进行排列；
所述曝光值的个数n为奇数时，在排列后的n个不同的曝光参数中，将第(n+1)/2个曝光参数作为所述n个不同的曝光参数的中间值；
所述曝光值的个数n为偶数时，在排列后的n个不同的曝光参数中，将第n/2个曝光参数作为所述n个不同的曝光参数的中间值。
需要指出的是，本申请提供的计算机存储介质中计算机可执行指令还能够 包含前述方法实施例中提供的各个处理步骤，只是这里不再进行赘述。
本领域内的技术人员应明白，本申请的实施例可提供为方法、系统、或计算机程序产品。因此，本申请可采用硬件实施例、软件实施例、或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器和光学存储器等)上实施的计算机程序产品的形式。
本申请是参照根据本申请实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
以上所述，仅为本申请的较佳实施例而已，并非用于限定本申请的保护范围。
工业实用性
本申请实施例提供的一种实现图像降噪的方法、装置、终端及计算机存储 介质，针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；在得出的n幅图像中选取一幅图像作为基准图像；基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。本申请实施例可以有效地解决拍摄图像时引起的图像局部噪声大的问题，提高图像质量，提升用户体验。

Claims (21)

  1. 一种实现图像降噪的方法，所述方法包括：
    针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；
    在得出的n幅图像中选取一幅图像作为基准图像；
    基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；
    在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。
  2. 根据权利要求1所述的方法，其中，所述方法还包括：得出所述n幅图像第i个区域的噪声幅度，i小于等于M；
    所述噪声图像区域确定策略为：所述基准图像的第i个区域的噪声幅度大于设定噪声幅度时，将所述基准图像的第i区域确定为噪声图像区域。
  3. 根据权利要求2所述的方法，其中，在得出n幅图像第i个区域的噪声幅度后，所述方法还包括：获取所得出的n个噪声幅度的平均值；
    相应地，所述设定噪声幅度小于等于所述n个噪声幅度的平均值。
  4. 根据权利要求1所述的方法，其中，所述在得出的n幅图像中选取一幅图像作为基准图像，包括：
    在得出的n幅图像中，将所述n个不同的曝光参数的中间值对应的图像作为基准图像。
  5. 根据权利要求4所述的方法，其中，所述方法还包括：
    将所述n个不同的曝光参数从低到高进行排列；
    所述曝光值的个数n为奇数时，在排列后的n个不同的曝光参数中，将第(n+1)/2个曝光参数作为所述n个不同的曝光参数的中间值；
    所述曝光值的个数n为偶数时，在排列后的n个不同的曝光参数中，将第n/2个曝光参数作为所述n个不同的曝光参数的中间值。
  6. 一种实现图像降噪的装置，所述装置包括：获取模块、处理模块和替换模块；其中，
    获取模块，用于针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；
    处理模块，用于在得出的n幅图像中选取一幅图像作为基准图像；基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；
    替换模块，用于在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。
  7. 根据权利要求6所述的装置，其中，所述处理模块，还用于得出所述n幅图像第i个区域的噪声幅度，i小于等于M；
    相应地，所述噪声图像区域确定策略为：所述基准图像的第i个区域的噪声幅度大于设定噪声幅度时，将所述基准图像的第i区域确定为噪声图像区域。
  8. 根据权利要求7所述的装置，其中，所述处理模块，还用于在得出所述n幅图像第i个区域的噪声幅度后，获取所得出的n个噪声幅度的平均值；
    相应地，所述设定噪声幅度小于等于所述n个噪声幅度的平均值。
  9. 根据权利要求6所述的装置，其中，
    所述处理模块，具体用于在得出的n幅图像中，将所述n个不同的曝光参数的中间值对应的图像作为基准图像。
  10. 根据权利要求9所述的装置，其中，
    所述处理模块，具体用于将所述n个不同的曝光参数从低到高进行排列；所述曝光值的个数n为奇数时，在排列后的n个不同的曝光参数中，将第(n+1)/2个曝光参数作为所述n个不同的曝光参数的中间值；所述曝光值的个数n为偶数时，在排列后的n个不同的曝光参数中，将第n/2个曝光参数作为所述n个不同的曝光参数的中间值。
  11. 一种终端，所述终端包括权利要求6至10任一项所述的装置。
  12. 一种终端，包括：
    存储介质，配置为存储计算机可执行指令；
    处理器，配置为执行所述计算机可执行指令，所述计算机可执行指令包括：针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；
    在得出的n幅图像中选取一幅图像作为基准图像；
    基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；
    在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。
  13. 如权利要求12所述的终端，其中，所述计算机可执行指令还包括：
    得出所述n幅图像第i个区域的噪声幅度，i小于等于M；
    所述噪声图像区域确定策略为：所述基准图像的第i个区域的噪声幅度大于设定噪声幅度时，将所述基准图像的第i区域确定为噪声图像区域。
  14. 根据权利要求13所述的终端，其中，所述计算机可执行指令还包括：
    获取所得出的n个噪声幅度的平均值；
    相应地，所述设定噪声幅度小于等于所述n个噪声幅度的平均值。
  15. 根据权利要求12所述的终端，其中，所述计算机可执行指令还包括：
    在得出的n幅图像中，将所述n个不同的曝光参数的中间值对应的图像作为基准图像。
  16. 根据权利要求12所述的终端，其中，所述计算机可执行指令还包括：
    将所述n个不同的曝光参数从低到高进行排列；
    所述曝光值的个数n为奇数时，在排列后的n个不同的曝光参数中，将第(n+1)/2个曝光参数作为所述n个不同的曝光参数的中间值；
    所述曝光值的个数n为偶数时，在排列后的n个不同的曝光参数中，将第n/2个曝光参数作为所述n个不同的曝光参数的中间值。
  17. 一种计算机存储介质，所述计算机存储介质中存储有计算机可执行指令，所述计算机可执行指令包括：
    针对同一场景分别利用n个不同的曝光参数进行拍摄，得出尺寸相同的n幅图像；将得出的每幅图像按照相同的划分方式划分为M个区域，n和M均大于1；
    在得出的n幅图像中选取一幅图像作为基准图像；
    基于预先设置的噪声图像区域确定策略，确定所述基准图像的任意一个区域为噪声图像区域时，在所有n幅图像的非基准图像中，选取与每个确定出的噪声图像区域处在相同位置的区域；
    在选取出的各个区域中确定清晰区域，所述清晰区域为所述选取出的各个区域中噪声幅度最小的区域；将基准图像中每个确定出的噪声图像区域替换为对应的清晰区域。
  18. 如权利要求17所述的计算机存储介质，其中，所述计算机可执行指令还包括：
    得出所述n幅图像第i个区域的噪声幅度，i小于等于M；
    所述噪声图像区域确定策略为：所述基准图像的第i个区域的噪声幅度大于设定噪声幅度时，将所述基准图像的第i区域确定为噪声图像区域。
  19. 根据权利要求18所述的计算机存储介质，其中，所述计算机可执行指令还包括：
    获取所得出的n个噪声幅度的平均值；
    相应地，所述设定噪声幅度小于等于所述n个噪声幅度的平均值。
  20. 根据权利要求17所述的计算机存储介质，其中，所述计算机可执行指令还包括：
    在得出的n幅图像中，将所述n个不同的曝光参数的中间值对应的图像作为基准图像。
  21. 根据权利要求17所述的计算机存储介质，其中，所述计算机可执行指令还包括：
    将所述n个不同的曝光参数从低到高进行排列；
    所述曝光值的个数n为奇数时，在排列后的n个不同的曝光参数中，将第(n+1)/2个曝光参数作为所述n个不同的曝光参数的中间值；
    所述曝光值的个数n为偶数时，在排列后的n个不同的曝光参数中，将第n/2个曝光参数作为所述n个不同的曝光参数的中间值。
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