CN110084764A - Image noise reduction processing method, mobile terminal, device and computer storage medium - Google Patents
Image noise reduction processing method, mobile terminal, device and computer storage medium Download PDFInfo
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- 238000003672 processing method Methods 0.000 title claims abstract description 35
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- 238000012545 processing Methods 0.000 claims abstract description 88
- 238000011946 reduction process Methods 0.000 claims abstract description 36
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- 238000001514 detection method Methods 0.000 claims description 19
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- 238000004590 computer program Methods 0.000 description 4
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- 239000004973 liquid crystal related substance Substances 0.000 description 2
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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
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
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- G—PHYSICS
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Abstract
The invention discloses a kind of image noise reduction processing method, mobile terminal, device and computer storage mediums, this method comprises: obtaining the display image to noise reduction process, piecemeal processing is carried out to display image based on preset first block size, treated to obtain piecemeal each first image block；Successively each first image block is traversed, judges to detect whether that there are the second image blocks in each first image block one by one；Wherein, the second image block is region bright-dark degree and unmatched first image block of the first block size；If in each first image block, there are the second image blocks, then the first block size is updated, and piecemeal processing is re-started to the second image block according to updated first block size, until completing the traversal of each the first image block, and noise reduction process is carried out to each the first image block that traversal is completed.It solves after carrying out image noise reduction processing to image in the prior art, the volatile genuine technical problem of image.
Description
Technical field
The present invention relates to technical field of image processing more particularly to a kind of image noise reduction processing methods, mobile terminal, device
And computer storage medium.
Background technique
During mobile terminal carries out image noise reduction processing, the image noise reduction treatment effect generally obtained leads to
Often piecemeal can be carried out to image then again to handle each image block to obtain each image block.And in different light
Under scene, the size of the image block suitable for image noise reduction processing is different, and piecemeal is too small under half-light scene will lead to place
Image after reason is fuzzy, and piecemeal will lead to greatly very much that noise reduction effect is bad under light scene, such as the photo shot under light scene, uses
The size of 32*32 carries out piecemeal, and in the photo shot under half-light scene, with the size of 64*64 carry out piecemeal compared with
It is suitable, therefore the size of image block seriously affects image noise reduction treatment effect.Also, at present in HDR (High-Dynamic
Range, high dynamic range images) in image, due to having light part in image, and there is half-light part, according to above-mentioned piecemeal
When method carries out image noise reduction processing, preferable image noise reduction treatment effect cannot be got, and image detail is be easy to cause to lose
It loses, that is, image fault.Therefore, how to avoid after image carries out noise reduction process, the volatile genuine problem of image becomes mesh
Preceding technical problem urgently to be resolved.
Summary of the invention
The main purpose of the present invention is to provide a kind of image noise reduction processing method, mobile terminal, device and computers to deposit
Storage media, it is intended to solve after carrying out noise reduction process to image in the prior art, the volatile genuine technical problem of image.
To achieve the above object, the present invention provides a kind of image noise reduction processing method, described image noise reduction process method packet
Include following steps:
The display image to noise reduction process is obtained, piecemeal is carried out to the display image based on preset first block size
Processing, treated to obtain piecemeal each first image block；
Successively each the first image block is traversed, is judged in each the first image block one by one with the presence or absence of the
Two image blocks；Wherein, second image block is region bright-dark degree and the unmatched the first image of the first block size
Block；
If there are the second image blocks in each the first image block, first block size is updated, and
Piecemeal processing is re-started to second image block according to updated first block size, until completing each first figure
Noise reduction process is carried out as the traversal of block, and to each the first image block that traversal is completed.
Optionally, if it is described there are the second image blocks in each the first image block, to first block size
The step of being updated, comprising:
If there are the second image blocks in each the first image block, it is bright to obtain the corresponding standard of second image block
Dark degree, and detect whether corresponding first bright-dark degree of second image block is greater than the standard bright-dark degree；
If first bright-dark degree is greater than the standard bright-dark degree, first block size is increased more
Newly.
Optionally, after the step of whether detection first bright-dark degree is greater than the standard bright-dark degree, packet
It includes:
If first bright-dark degree is less than the standard bright-dark degree, first block size is reduced more
Newly.
Optionally, described the step of being judged in each the first image block one by one with the presence or absence of the second image block, comprising:
Current image block is obtained in each the first image block, and obtains the corresponding current light and shade of the current image block
Degree；
Detect whether first block size matches with the current bright-dark degree；
If first block size and the current bright-dark degree mismatch, the current image block is the second image
Block.
Optionally, described the step of obtaining the current image block corresponding current bright-dark degree, comprising:
The corresponding histogram of the current image block is obtained, and determines the picture of the current image block in the histogram
Element value；
The corresponding current bright-dark degree of the current image block is determined according to the pixel value.
Optionally, whether the present image size of the detection current image block matches with the current bright-dark degree
The step of, comprising:
Obtain the default mapping table between preset different images size and different bright-dark degrees；
It is searched in the default mapping table and corresponding second picture size of the current bright-dark degree, and described in detection
Whether the second picture size and first block size are identical；
If second picture size and first block size are different, first block size and described current
Bright-dark degree mismatches.
Optionally, after described the step of being judged in each the first image block one by one with the presence or absence of the second image block,
Include:
If the second image block is not present in each the first image block, directly each the first image block is dropped
It makes an uproar processing.
In addition, to achieve the above object, the present invention also provides a kind of image noise reduction processing unit, described image noise reduction process
Device includes:
Module is obtained, for obtaining display image to be processed, the display is schemed based on preset first block size
As carrying out piecemeal processing, treated to obtain piecemeal each first image block；
Detection module judges in each the first image block one by one for successively traversing to each described image block
With the presence or absence of the second image block；Wherein, second image block is region bright-dark degree and the unmatched institute of the first block size
State the first image block；
Piecemeal processing module, if for there are the second image blocks in each the first image block, to described first point
Block size is updated, and re-starts piecemeal processing to second image block according to updated first block size, directly
To the traversal for completing each the first image block, and noise reduction process is carried out to each the first image block that traversal is completed, and
Noise reduction process is carried out to each the first image block that traversal is completed.
In addition, to achieve the above object, the present invention also provides a kind of mobile terminals；
The mobile terminal includes: memory, processor and is stored on the memory and can be on the processor
The computer program of operation, in which:
The computer program realizes the step of image noise reduction processing method as described above when being executed by the processor.
In addition, to achieve the above object, the present invention also provides a kind of computer storage mediums；
Computer program, the realization when computer program is executed by processor are stored in the computer storage medium
Such as the step of above-mentioned image noise reduction processing method.
The present invention schemes the display based on preset first block size by obtaining the display image to noise reduction process
As carrying out piecemeal processing, treated to obtain piecemeal each first image block；Successively each the first image block is traversed,
Judged in each the first image block one by one with the presence or absence of the second image block；Wherein, second image block is that region is bright
Dark degree and the unmatched the first image block of the first block size；If in each the first image block, there are the second images
Block is then updated first block size, and according to updated first block size to the second image block weight
It is new to carry out piecemeal processing, until completing the traversal of each the first image block, and to each the first image that traversal is completed
Block carries out noise reduction process.By first carrying out piecemeal processing according to the first block size to display image, to obtain each first image
Block, then determining again, which whether there is in each first image block, the first block size and region bright-dark degree unmatched second
Image block exists, and carries out piecemeal processing to display image again there are in the presence of the second image block determining, so as to
It makes image noise reduction treatment effect more preferable using different partition strategies according to the bright-dark degree of different zones in display image, solves
It has determined after carrying out noise reduction process to image in the prior art, the volatile genuine technical problem of image.
Detailed description of the invention
Fig. 1 is the hardware structural diagram of the embodiment of the present invention one optional mobile terminal；
Fig. 2 is the wireless communication device schematic diagram of mobile terminal in Fig. 1；
Fig. 3 is the flow diagram of image noise reduction processing method first embodiment of the present invention；
Fig. 4 is the flow diagram of image noise reduction processing method second embodiment of the present invention；
Fig. 5 is the functional block diagram of image noise reduction processing unit of the present invention；
Fig. 6 is the schematic diagram of a scenario that fragmental image processing is shown in image noise reduction processing method of the present invention；
Fig. 7 is the schematic diagram of a scenario for carrying out piecemeal processing in image noise reduction processing method of the present invention to display image；
Fig. 8 is a kind of image noise reduction process flow diagram in image noise reduction processing method of the present invention.
The object of the invention is realized, the embodiments will be further described with reference to the accompanying drawings for functional characteristics and advantage.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
In subsequent description, it is only using the suffix for indicating such as " module ", " component " or " unit " of element
Be conducive to explanation of the invention, itself there is no a specific meaning.Therefore, " module ", " component " or " unit " can mix
Ground uses.
Terminal can be implemented in a variety of manners.For example, terminal described in the present invention may include such as mobile phone, plate
Computer, laptop, palm PC, personal digital assistant (Personal Digital Assistant, PDA), portable
Media player (Portable Media Player, PMP), navigation device, wearable device, Intelligent bracelet, pedometer etc. move
The fixed terminals such as dynamic terminal, and number TV, desktop computer.
It will be illustrated by taking mobile terminal as an example in subsequent descriptions, it will be appreciated by those skilled in the art that in addition to special
For moving except purpose element, the construction of embodiment according to the present invention can also apply to the terminal of fixed type.
Referring to Fig. 1, a kind of hardware structural diagram of its mobile terminal of each embodiment to realize the present invention, the shifting
Dynamic terminal 100 may include: RF (Radio Frequency, radio frequency) unit 101, WiFi module 102, audio output unit
103, A/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit
108, the components such as memory 109, processor 110 and power supply 111.It will be understood by those skilled in the art that shown in Fig. 1
Mobile terminal structure does not constitute the restriction to mobile terminal, and mobile terminal may include components more more or fewer than diagram,
Perhaps certain components or different component layouts are combined.
It is specifically introduced below with reference to all parts of the Fig. 1 to mobile terminal:
Radio frequency unit 101 can be used for receiving and sending messages or communication process in, signal sends and receivees, specifically, by base station
Downlink information receive after, to processor 110 handle；In addition, the data of uplink are sent to base station.In general, radio frequency unit 101
Including but not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier, duplexer etc..In addition, penetrating
Frequency unit 101 can also be communicated with network and other equipment by wireless communication.Any communication can be used in above-mentioned wireless communication
Standard or agreement, including but not limited to GSM (Global System of Mobile communication, global system for mobile telecommunications
System), GPRS (General Packet Radio Service, general packet radio service), CDMA2000 (Code
Division Multiple Access 2000, CDMA 2000), WCDMA (Wideband Code Division
Multiple Access, wideband code division multiple access), TD-SCDMA (Time Division-Synchronous Code
Division Multiple Access, TD SDMA), FDD-LTE (Frequency Division
Duplexing-Long Term Evolution, frequency division duplex long term evolution) and TDD-LTE (Time Division
Duplexing-Long Term Evolution, time division duplex long term evolution) etc..
WiFi belongs to short range wireless transmission technology, and mobile terminal can help user to receive and dispatch electricity by WiFi module 102
Sub- mail, browsing webpage and access streaming video etc., it provides wireless broadband internet access for user.Although Fig. 1 shows
Go out WiFi module 102, but it is understood that, and it is not belonging to must be configured into for mobile terminal, it completely can be according to need
It to omit within the scope of not changing the essence of the invention.
Audio output unit 103 can be in call signal reception pattern, call mode, record mould in mobile terminal 100
When under the isotypes such as formula, speech recognition mode, broadcast reception mode, by radio frequency unit 101 or WiFi module 102 it is received or
The audio data stored in memory 109 is converted into audio signal and exports to be sound.Moreover, audio output unit 103
Audio output relevant to the specific function that mobile terminal 100 executes can also be provided (for example, call signal receives sound, disappears
Breath receives sound etc.).Audio output unit 103 may include loudspeaker, buzzer etc..
A/V input unit 104 is for receiving audio or video signal.A/V input unit 104 may include graphics processor
(Graphics Processing Unit, GPU) 1041 and microphone 1042, graphics processor 1041 is in video acquisition mode
Or the image data of the still image or video obtained in image capture mode by image capture apparatus (such as camera) carries out
Reason.Treated, and picture frame may be displayed on display unit 106.Through graphics processor 1041, treated that picture frame can be deposited
Storage is sent in memory 109 (or other storage mediums) or via radio frequency unit 101 or WiFi module 102.Mike
Wind 1042 can connect in telephone calling model, logging mode, speech recognition mode etc. operational mode via microphone 1042
Quiet down sound (audio data), and can be audio data by such acoustic processing.Audio that treated (voice) data can
To be converted to the format output that can be sent to mobile communication base station via radio frequency unit 101 in the case where telephone calling model.
Microphone 1042 can be implemented various types of noises elimination (or inhibition) algorithms and send and receive sound to eliminate (or inhibition)
The noise generated during frequency signal or interference.
Mobile terminal 100 further includes at least one sensor 105, such as optical sensor, motion sensor and other biographies
Sensor.Specifically, optical sensor includes ambient light sensor and proximity sensor, wherein ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel 1061, and proximity sensor can close when mobile terminal 100 is moved in one's ear
Display panel 1061 and/or backlight.As a kind of motion sensor, accelerometer sensor can detect in all directions (general
For three axis) size of acceleration, it can detect that size and the direction of gravity when static, can be used to identify the application of mobile phone posture
(such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；
The fingerprint sensor that can also configure as mobile phone, pressure sensor, iris sensor, molecule sensor, gyroscope, barometer,
The other sensors such as hygrometer, thermometer, infrared sensor, details are not described herein.
Display unit 106 is for showing information input by user or being supplied to the information of user.Display unit 106 can wrap
Display panel 1061 is included, liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode can be used
Forms such as (Organic Light-Emitting Diode, OLED) configure display panel 1061.
User input unit 107 can be used for receiving the number or character information of input, and generate the use with mobile terminal
Family setting and the related key signals input of function control.Specifically, user input unit 107 may include touch panel 1071 with
And other input equipments 1072.Touch panel 1071, also referred to as touch screen collect the touch operation of user on it or nearby
(for example user uses any suitable objects or attachment such as finger, stylus on touch panel 1071 or in touch panel 1071
Neighbouring operation), and corresponding attachment device is driven according to preset formula.Touch panel 1071 may include touch detection
Two parts of device and touch controller.Wherein, the touch orientation of touch detecting apparatus detection user, and detect touch operation band
The signal come, transmits a signal to touch controller；Touch controller receives touch information from touch detecting apparatus, and by it
It is converted into contact coordinate, then gives processor 110, and order that processor 110 is sent can be received and executed.In addition, can
To realize touch panel 1071 using multiple types such as resistance-type, condenser type, infrared ray and surface acoustic waves.In addition to touch panel
1071, user input unit 107 can also include other input equipments 1072.Specifically, other input equipments 1072 can wrap
It includes but is not limited in physical keyboard, function key (such as volume control button, switch key etc.), trace ball, mouse, operating stick etc.
It is one or more, specifically herein without limitation.
Further, touch panel 1071 can cover display panel 1061, when touch panel 1071 detect on it or
After neighbouring touch operation, processor 110 is sent to determine the type of touch event, is followed by subsequent processing device 110 according to touch thing
The type of part provides corresponding visual output on display panel 1061.Although in Fig. 1, touch panel 1071 and display panel
1061 be the function that outputs and inputs of realizing mobile terminal as two independent components, but in certain embodiments, it can
The function that outputs and inputs of mobile terminal is realized so that touch panel 1071 and display panel 1061 is integrated, is not done herein specifically
It limits.
Interface unit 108 be used as at least one external device (ED) connect with mobile terminal 100 can by interface.For example,
External device (ED) may include wired or wireless headphone port, external power supply (or battery charger) port, wired or nothing
Line data port, memory card port, the port for connecting the device with identification module, audio input/output (I/O) end
Mouth, video i/o port, ear port etc..Interface unit 108 can be used for receiving the input from external device (ED) (for example, number
It is believed that breath, electric power etc.) and the input received is transferred to one or more elements in mobile terminal 100 or can be with
For transmitting data between mobile terminal 100 and external device (ED).
Memory 109 can be used for storing software program and various data, and memory 109 can be situated between for a kind of storage of computer
Matter, the memory 109 are stored with prompting message program of the present invention.Memory 109 can mainly include storing program area and storage number
According to area, wherein storing program area can application program needed for storage program area, at least one function (for example sound plays function
Energy, image player function etc.) etc.；Storage data area can store according to mobile phone use created data (such as audio data,
Phone directory etc.) etc..In addition, memory 109 may include high-speed random access memory, it can also include non-volatile memories
Device, for example, at least a disk memory, flush memory device or other volatile solid-state parts.
Processor 110 is the control centre of mobile terminal, utilizes each of various interfaces and the entire mobile terminal of connection
A part by running or execute the software program and/or module that are stored in memory 109, and calls and is stored in storage
Data in device 109 execute the various functions and processing data of mobile terminal, to carry out integral monitoring to mobile terminal.Such as
Processor 110 executes the prompting message program in memory 109, to realize the step of each embodiment of message prompt method of the present invention
Suddenly.
Processor 110 may include one or more processing units；Optionally, processor 110 can integrate application processor and
Modem processor, wherein the main processing operation system of application processor, user interface and application program etc., modulation /demodulation
Processor mainly handles wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 110
In.
Mobile terminal 100 can also include the power supply 111 (such as battery) powered to all parts, optionally, power supply 111
Can be logically contiguous by power-supply management system and processor 110, to realize management charging by power-supply management system, put
The functions such as electricity and power managed.
Although Fig. 1 is not shown, mobile terminal 100 can also be including bluetooth module etc., and details are not described herein.
Embodiment to facilitate the understanding of the present invention, the communications network system that mobile terminal of the invention is based below into
Row description.
Referring to Fig. 2, Fig. 2 is a kind of communications network system architecture diagram provided in an embodiment of the present invention, the communication network system
System is the LTE system of universal mobile communications technology, which includes UE (User Equipment, the use of successively communication connection
Family equipment) (the land Evolved UMTS Terrestrial Radio Access Network, evolved UMTS 201, E-UTRAN
Ground wireless access network) 202, EPC (Evolved Packet Core, evolved packet-based core networks) 203 and operator IP operation
204。
Specifically, UE201 can be above-mentioned terminal 100, and details are not described herein again.
E-UTRAN202 includes eNodeB2021 and other eNodeB2022 etc..Wherein, eNodeB2021 can be by returning
Journey (backhaul) (such as X2 interface) is connect with other eNodeB2022, and eNodeB2021 is connected to EPC203,
ENodeB2021 can provide the access of UE201 to EPC203.
EPC203 may include MME (Mobility Management Entity, mobility management entity) 2031, HSS
(Home Subscriber Server, home subscriber server) 2032, other MME2033, SGW (Serving Gate Way,
Gateway) 2034, PGW (PDN Gate Way, grouped data network gateway) 2035 and PCRF (Policy and
Charging Rules Function, policy and rate functional entity) 2036 etc..Wherein, MME2031 be processing UE201 and
The control node of signaling, provides carrying and connection management between EPC203.HSS2032 is all to manage for providing some registers
Such as the function of home location register (not shown) etc, and preserves some related service features, data rates etc. and use
The dedicated information in family.All customer data can be sent by SGW2034, and PGW2035 can provide the IP of UE 201
Address distribution and other functions, PCRF2036 are strategy and the charging control strategic decision-making of business data flow and IP bearing resource
Point, it selects and provides available strategy and charging control decision with charge execution function unit (not shown) for strategy.
IP operation 204 may include internet, Intranet, IMS (IP Multimedia Subsystem, IP multimedia
System) or other IP operations etc..
Although above-mentioned be described by taking LTE system as an example, those skilled in the art should know the present invention is not only
Suitable for LTE system, be readily applicable to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA with
And the following new network system etc., herein without limitation.
Based on above-mentioned mobile terminal hardware configuration and communications network system, propose that image noise reduction processing method of the present invention is each
A embodiment.
The present invention provides a kind of image noise reduction processing method, which is mainly used in mobile terminal and sets
It is standby upper, but it is not limited to mobile terminal, it is also possible to other intelligent terminal, image noise reduction processing method includes:
The display image to noise reduction process is obtained, piecemeal is carried out to the display image based on preset first block size
Processing, treated to obtain piecemeal each first image block；
Successively each the first image block is traversed, is judged in each the first image block one by one with the presence or absence of the
Two image blocks；Wherein, second image block is region bright-dark degree and the unmatched the first image of the first block size
Block；
If there are the second image blocks in each the first image block, first block size is updated, and
Piecemeal processing is re-started to second image block according to updated first block size, until completing each first figure
Noise reduction process is carried out as the traversal of block, and to each the first image block that traversal is completed.
Referring to Fig. 3, the present invention provides a kind of image noise reduction processing method, in image noise reduction processing method first embodiment
In, image noise reduction processing method the following steps are included:
Step S10 obtains the display image to noise reduction process, the display is schemed based on preset first block size
As carrying out piecemeal processing, treated to obtain piecemeal each first image block；
Display image can be the image shown on screen interface in mobile terminal, can be HDR image or common figure
Picture.First block size can be the size of user's preset in advance, such as 16*16,8*8, it should be noted that the first piecemeal ruler
The very little picture size that cannot be greater than display image.Piecemeal processing can be will display image virtual to be divided into size identical
Each image block.First image block can be display image by piecemeal treated image.When detecting in the terminal
When user needs to carry out image noise reduction processing to display image, need first to obtain the size dimension of display image, it is aobvious further according to this
The size dimension of diagram picture is to obtain the first block size of user's preset in advance, then carries out piecemeal processing to display image, and
Obtain piecemeal treated each first image block, wherein the size dimension of each first image block is identical.
Supplemented by assistant solve in the present embodiment to display image carry out piecemeal processing method, be exemplified below.
For example, as shown in fig. 6, when detect in the terminal display image need to carry out image noise reduction processing when, first
The picture size of detection display image is 64*64, obtains the first block size further according to this picture size at this time, it is assumed that work as acquisition
When the pre-set dimension arrived is 16*16, then piecemeal processing can be carried out to display image according to this pre-set dimension, and in piecemeal processing
The available image block to 16 16*16 afterwards, then again traverses the image block of these 16*16, when discovery there are
When the region bright-dark degree of image block and pre-set dimension mismatch, need to divide the image block again according to different sizes
Block processing.
Step S20 successively traverses each the first image block, judge one by one be in each the first image block
It is no that there are the second image blocks；It wherein, is region bright-dark degree and the unmatched the first image block of the first block size；
Second image block can be one of each first image block, and the corresponding first image block ruler of the second image block
The corresponding region bright-dark degree of very little (i.e. the first block size) and the second image block mismatches.Region bright-dark degree can be second
The bright-dark degree of image block region, it can think the brightness of the second image block.When getting each first image block
Afterwards, successively each first image block can be traversed, and the sequential system traversed can be from left to right, under
Mode carries out.And detect whether that there are the second image blocks during traversing to each first image block, and in determination
When the second image block being not present in each first image block, image noise reduction processing directly can be carried out to each second image block,
But when there are when the second image, then need to carry out piecemeal processing to display image again in each first image.
Wherein, detect whether that the mode there are the second image block can be in each image block in each first image block
It is middle to select an image block as current block, and the histogram of current block is obtained, then the pixel of current block is obtained from histogram
Point, then determine based on pixel the bright-dark degree of current block, determine whether the bright-dark degree of current block is big with the size of current block
Small matching, if matching, obtains the image block of next untreated areas, judge that the bright-dark degree of next image block is again
The size of no and next image block matches, but works as the bright-dark degree of the size and current block that find current block not
Matching then can update piecemeal size according to the bright-dark degree of current block, and current block can be the second image block at this time.
Step S30 carries out first block size if there are the second image blocks in each the first image block
It updates, and piecemeal processing is re-started to second image block according to updated first block size, until completing each institute
The traversal of the first image block is stated, and noise reduction process is carried out to each the first image block that traversal is completed.
When by judgement discovery, there are when the second image block, first determine the second all images in each first image block
Block, and the size for determining these the second image blocks according to the region bright-dark degree of these the second image block regions is desirable
Increase still needs to reduce, if desired increased in size, then carries out increase processing to the first block size, and according to after increasing and updating
The first block size to each second image block re-start piecemeal processing；If desired reduce size, then to the first piecemeal ruler
Little progress row reduction processing, and each second image block is re-started at piecemeal according to updated first block size is reduced
Reason.Image noise reduction processing is carried out until completing the traversal to each first image block, then to each image block, and in noise reduction process
Fusion treatment is carried out to each image block after the completion.
Supplemented by assistant's solution, when there are when the second image block, being re-started point to the second image block in each first image block
Block is exemplified below.
For example, as shown in fig. 7, being obtained after carrying out piecemeal processing according to preset first block size to display image
When to each first image block, when detecting that there are region bright-dark degrees and the first block size in these the first image blocks
It in the presence of unmatched second image block, needs to be updated the first block size, obtains the first new block size, then root
Piecemeal processing is re-started to each second image block according to the first new block size, and obtains piecemeal again treated new figure
As block, then determine whether there is also have region bright-dark degree and the new unmatched image of the first block size in new images block
Block if so, being then updated again to the first new block size, and carries out piecemeal processing again, until in display image
The size for having carried out each image block of piecemeal can be with the matching of corresponding region bright-dark degree, i.e. traversal is completed each
Then a first image block carries out noise reduction process to the corresponding each image block of display image again, and after the completion of noise reduction process,
The image block of same position in different frame is subjected to fusion treatment.
Assistant solves image noise reduction processing method in the present embodiment supplemented by addition, is exemplified below.
For example, as shown in figure 8, carrying out image point according to default size (such as 16*16) to the display image in mobile terminal
Block processing, and determines whether not traverse piecemeal, if so, then obtain it is next do not traverse piecemeal, and calculate the blocked histogram,
The piecemeal bright-dark degree is obtained further according to this histogram, determines whether the size of the piecemeal (current block) is corresponding with the piecemeal
Bright-dark degree's matching again determine whether if matching there are not traversing piecemeal, if mismatching, determine the big of current block
Small whether to reach maximum value, if the size of current block has reached maximum value, secondary determined whether there is does not traverse piecemeal, if working as
Preceding piece of size is not up to maximum value, then the size of current block, and root are updated based on the corresponding bright-dark degree of current block
According to the size of current block, the image block is obtained in display image again.It does not traverse piecemeal if it does not exist, then terminates piecemeal
Processing operation.
By obtaining the display image to noise reduction process, the display image is carried out based on preset first block size
Piecemeal processing, treated to obtain piecemeal each first image block；Successively each the first image block is traversed, is sentenced one by one
Break in each the first image block with the presence or absence of the second image block；Wherein, second image block be region bright-dark degree with
The unmatched the first image block of first block size；If right there are the second image block in each the first image block
First block size is updated, and is re-started point according to updated first block size to second image block
Block processing, until completing the traversal of each the first image block, and drops each the first image block that traversal is completed
It makes an uproar processing.By first carrying out piecemeal processing according to the first block size to display image, to obtain each first image block, then again
Determining, which whether there is in each first image block, has unmatched second image block of the first block size and region bright-dark degree to deposit
, and piecemeal processing is carried out to display image again, so as to according to display there are in the presence of the second image block determining
The bright-dark degree of different zones in image makes image noise reduction treatment effect more preferable using different partition strategies, solves existing
After carrying out noise reduction process to image in technology, the volatile genuine technical problem of image.
Further, on the basis of first embodiment of the invention, the of image noise reduction processing method of the present invention is proposed
Two embodiments, the present embodiment is the step S30 of first embodiment of the invention, if there are the second figures in each the first image block
As block, then the refinement for the step of first block size being updated, referring to Fig. 4, comprising:
If there are the second image blocks in each the first image block by step S31, it is corresponding to obtain second image block
Standard bright-dark degree, and detect whether corresponding first bright-dark degree of second image block is greater than the standard light and shade journey
Degree；
Standard bright-dark degree can be the best bright-dark degree in the second image block, to the second figure under this bright-dark degree
As block treatment effect is best.When detecting the second image block in each first image block, need first to obtain the second image block
Then corresponding standard bright-dark degree detects again and judges whether the second image block is greater than mark in first bright-dark degree at current time
Quasi- bright-dark degree, and different operations is executed based on judging result.
Step S32, if first bright-dark degree be greater than the standard bright-dark degree, to first block size into
Row, which increases, to be updated.
It, then can be to the first piecemeal being originally arranged when by judging that the first bright-dark degree of discovery is greater than standard bright-dark degree
Size carries out increase processing, to obtain updated first block size, further according to updated firstth block size weight
Piecemeal processing newly is carried out to each second image block.
In the present embodiment, by obtaining the standard bright-dark degree of the second image block, and in the second image block corresponding the
When one bright-dark degree is greater than standard bright-dark degree, the second image block is carried out at piecemeal again by increasing the first block size
Reason improves the speed of image noise reduction processing to ensure the efficiency of piecemeal processing.
Specifically, after the step of whether detection first bright-dark degree is greater than the standard bright-dark degree, comprising:
Step a carries out first block size if first bright-dark degree is less than the standard bright-dark degree
Reduce and updates.
When by judging that the first bright-dark degree of discovery is less than standard bright-dark degree, then the first block size can be subtracted
Small processing, and will reduce and update treated the first block size, further according to updated first block size to the second image
Block re-starts piecemeal processing.For example, when the first block size is 16*16, when discovery is divided according to the first block size
When the image block that block is handled is unsatisfactory for requiring, then reduction processing is carried out to the first block size, it is assumed that it is reduced to 8*8, this
When will be using 8*8 as updated first block size.
In the present embodiment, by subtracting when corresponding first bright-dark degree of the second image block is less than standard bright-dark degree
Small first block size to carry out piecemeal processing to the second image block again, to ensure the efficiency of piecemeal processing, improves
The speed of image noise reduction processing.
Further, the present invention first to second embodiment any one on the basis of, propose image of the present invention drop
The 3rd embodiment for processing method of making an uproar, the present embodiment are the step S20 of first embodiment of the invention, are judged one by one each described
The refinement for the step of whether there is the second image block in one image block, comprising:
Step c obtains current image block in each the first image block, and obtains that the current image block is corresponding to be worked as
Preceding bright-dark degree；
Current image block can be the image block for carrying out detection processing at current time in mobile terminal.Current light and shade journey
Degree can be current image block in the brightness of the bright-dark degree at moment at current time, that is, image.In each first image block
The current image block that middle acquisition current time has traversed, and determine the corresponding current bright-dark degree of current image block.
Step d, detects whether first block size matches with the current bright-dark degree；
After getting current image block corresponding current bright-dark degree, it is also necessary to determine the present image of current image block
Size (i.e. the first block size), and whether the present image size for detecting current image block matches with current bright-dark degree, when
By judgement discovery present image size and the matching of current bright-dark degree, then can continue to traverse next first not be traversed
Image block, but mismatched when by judgement discovery present image size and current bright-dark degree, then it needs again to display figure
As carrying out piecemeal processing.
Step e, if first block size and the current bright-dark degree mismatch, the current image block is the
Two image blocks.
When the present image size (i.e. the first block size) and current bright-dark degree for finding current image block by judgement
Mismatch, it may be considered that current image block be the second image block, need at this time again using new size to display image into
The processing of row piecemeal.
In the present embodiment, by obtaining current image block in each first image block, and the first piecemeal ruler is being determined
When very little and current bright-dark degree mismatches, determines that current image block is the second image block, determine the second image block to ensure
Accuracy.
Specifically, the step of obtaining the current image block corresponding current bright-dark degree, comprising:
Step c1 obtains the corresponding histogram of the current image block, and the current figure is determined in the histogram
As the pixel value of block；
Histogram is also histogram, and the exposure accuracy of image is shown in the form of waveform diagram in reference axis, and horizontal axis indicates
Brightness degree.After getting current image block, it is also necessary to the determining histogram with current image block all pixels value, and
The size of the pixel value of current image block is determined in the histogram.
Step c2 determines the corresponding current bright-dark degree of the current image block according to the pixel value.
After getting pixel value, then the corresponding current bright-dark degree of current image block can be determined according to pixel value,
I.e. pixel value is bigger, and current bright-dark degree is better, and the brightness of image is bigger；Pixel value is smaller, and current bright-dark degree is poorer, image
Brightness it is darker.
In the present embodiment, by obtaining the corresponding current light and shade of current image block according to the pixel value of current image block
Degree, to ensure the accuracy of the current bright-dark degree got.
Specifically, the step of whether first block size is with current bright-dark degree matching is detected, comprising:
Step d1 obtains the default mapping table between preset different images size and different bright-dark degrees；
Default mapping table can be the mapping table that user is arranged in advance, need to obtain preset different figures in the terminal
As the default mapping table between size and different bright-dark degrees.
Step d2 searches the second picture size corresponding with the current bright-dark degree in the default mapping table, and
It detects second picture size and whether first block size is identical；
Second picture size can be the corresponding image optimum size size of current bright-dark degree.When getting default mapping
After table, need to search the second picture size corresponding with current bright-dark degree in default mapping table, and detect the second image ruler
Whether very little and the first block size is identical.It, then can be with when by judging that the second picture size of discovery is identical with the first block size
Directly traverse next the first image block not being traversed.When by judging the second picture size of discovery and the first block size
It is not identical, then it needs to carry out piecemeal processing to display image again.
Step d3, if second picture size and first block size are different, first block size and
The current bright-dark degree mismatches.
When by judging the second picture size of discovery with the first block size difference, it may be considered that the first block size
It is mismatched with current bright-dark degree, size is needed to reset to carry out piecemeal processing to display image at this time.
In the present embodiment, by obtaining the second picture size in default mapping table, and the second picture size is being determined
When different with the first block size, determine that the first block size and current bright-dark degree mismatch, to ensure that detection is current
The whether matched accuracy of picture size and current bright-dark degree.
Further, after the step of judging one by one in each the first image block with the presence or absence of the second image block, packet
It includes:
Step g, if the second image block is not present in each the first image block, directly to each the first image block
Carry out noise reduction process.
It, then can be directly to each the when the second image block is not present in each first image block by judgement discovery
One image block carries out noise reduction process, to meet the needs of users.
In the present embodiment, when the second image block is not present in detection determination in each first image block, directly to each
First image block carries out noise reduction process, to improve the efficiency of image noise reduction processing.
In addition, the embodiment of the present invention also proposes a kind of image noise reduction processing unit, described image noise reduction process referring to Fig. 5
Device includes:
Module is obtained, the display image to noise reduction process is obtained, the display is schemed based on preset first block size
As carrying out piecemeal processing, treated to obtain piecemeal each first image block；
Detection module judges in each the first image block one by one for successively traversing to each described image block
With the presence or absence of the second image block；Wherein, second image block is region bright-dark degree and the unmatched institute of the first block size
State the first image block；
Piecemeal processing module, if for there are the second image blocks in each the first image block, to described first point
Block size is updated, and re-starts piecemeal processing to second image block according to updated first block size, directly
To the traversal for completing each the first image block, and noise reduction process is carried out to each the first image block that traversal is completed.
Optionally, the piecemeal processing module, is also used to:
If there are the second image blocks in each the first image block, it is bright to obtain the corresponding standard of second image block
Dark degree, and detect whether corresponding first bright-dark degree of second image block is greater than the standard bright-dark degree；
If first bright-dark degree is greater than the standard bright-dark degree, first block size is increased more
Newly.
Optionally, the piecemeal processing module, is also used to:
If first bright-dark degree is less than the standard bright-dark degree, first block size is reduced more
Newly.
Optionally, the detection module, is also used to:
Current image block is obtained in each the first image block, and obtains the corresponding current light and shade of the current image block
Degree；
Detect whether first block size matches with the current bright-dark degree；
If first block size and the current bright-dark degree mismatch, the current image block is the second image
Block.
Optionally, the detection module, is also used to:
The corresponding histogram of the current image block is obtained, and determines the picture of the current image block in the histogram
Element value；
The corresponding current bright-dark degree of the current image block is determined according to the pixel value.
Optionally, the detection module, is also used to:
Obtain the default mapping table between preset different images size and different bright-dark degrees；
It is searched in the default mapping table and corresponding second picture size of the current bright-dark degree, and described in detection
Whether the second picture size and first block size are identical；
If second picture size and first block size are different, first block size and described current
Bright-dark degree mismatches.
Optionally, described image noise reduction process device, further includes:
If the second image block is not present in each the first image block, directly each the first image block is dropped
It makes an uproar processing.
Wherein, the step of each Implement of Function Module of image noise reduction processing unit can refer to image noise reduction processing of the present invention
Each embodiment of method, details are not described herein again.
The present invention also provides a kind of mobile terminal, the mobile terminal include: memory, processor, communication bus and
The image noise reduction processing routine being stored on the memory:
The communication bus is for realizing the connection communication between processor and memory；
The processor is for executing described image noise reduction process program, to realize above-mentioned each reality of image noise reduction processing method
The step of applying.
The present invention also provides a kind of computer storage medium, the computer storage medium is stored with one or one
Procedure above, the one or more programs can also be executed by one or more than one processor with for realizing
The step of each embodiment of above-mentioned image noise reduction processing method.
Computer storage medium specific embodiment of the present invention and the basic phase of above-mentioned each embodiment of image noise reduction processing method
Together, details are not described herein.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or system.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that terminal device (it can be mobile phone,
Computer, server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of image noise reduction processing method, which is characterized in that described image noise reduction process method the following steps are included:
The display image to noise reduction process is obtained, the display image is carried out at piecemeal based on preset first block size
Reason, treated to obtain piecemeal each first image block；
Successively each the first image block is traversed, is judged in each the first image block one by one with the presence or absence of the second figure
As block；Wherein, second image block is region bright-dark degree and the unmatched the first image block of the first block size；
If there are the second image blocks in each the first image block, first block size is updated, and according to
Updated first block size re-starts piecemeal processing to second image block, until completing each the first image block
Traversal, and to be completed traversal each the first image block carry out noise reduction process.
2. image noise reduction processing method as described in claim 1, which is characterized in that if described in each the first image block
The step of there are the second image blocks, then are updated to first block size, comprising:
If there are the second image blocks in each the first image block, the corresponding standard light and shade journey of second image block is obtained
Degree, and detect whether corresponding first bright-dark degree of second image block is greater than the standard bright-dark degree；
If first bright-dark degree is greater than the standard bright-dark degree, increase update is carried out to first block size.
3. image noise reduction processing method as claimed in claim 2, which is characterized in that the detection first bright-dark degree is
After no the step of being greater than the standard bright-dark degree, comprising:
If first bright-dark degree is less than the standard bright-dark degree, reduction update is carried out to first block size.
4. image noise reduction processing method as described in claim 1, which is characterized in that described to be judged one by one in each first figure
As the step of whether there is the second image block in block, comprising:
Current image block is obtained in each the first image block, and obtains the corresponding current light and shade journey of the current image block
Degree；
Detect whether first block size matches with the current bright-dark degree；
If first block size and the current bright-dark degree mismatch, the current image block is the second image block.
5. image noise reduction processing method as claimed in claim 4, which is characterized in that the acquisition current image block is corresponding
Current bright-dark degree the step of, comprising:
The corresponding histogram of the current image block is obtained, and determines the pixel of the current image block in the histogram
Value；
The corresponding current bright-dark degree of the current image block is determined according to the pixel value.
6. image noise reduction processing method as claimed in claim 4, which is characterized in that the detection first block size is
The step of no and described current bright-dark degree matches, comprising:
Obtain the default mapping table between preset different images size and different bright-dark degrees；
The second picture size corresponding with the current bright-dark degree is searched in the default mapping table, and detects described second
Whether picture size and first block size are identical；
If second picture size is different with first block size, first block size and the current light and shade
Degree mismatches.
7. image noise reduction processing method as described in claim 1, which is characterized in that described to be judged one by one in each first figure
After the step of whether there is the second image block in block, comprising:
If the second image block is not present in each the first image block, directly each the first image block is carried out at noise reduction
Reason.
8. a kind of image noise reduction processing unit, which is characterized in that described image noise reduction process device includes:
Module is obtained, for obtaining the display image to noise reduction process, the display is schemed based on preset first block size
As carrying out piecemeal processing, treated to obtain piecemeal each first image block；
Detection module, for successively being traversed to each described image block, judge in each the first image block one by one whether
There are the second image blocks；Wherein, second image block is region bright-dark degree and the first block size unmatched described the
One image block；
Piecemeal processing module, if for there are the second image blocks in each the first image block, to the first piecemeal ruler
It is very little to be updated, and piecemeal processing is re-started to second image block according to updated first block size, until complete
Noise reduction process is carried out at the traversal of each the first image block, and to each the first image block that traversal is completed.
9. a kind of mobile terminal, which is characterized in that the mobile terminal includes: memory, processor and is stored in the storage
On device and the image noise reduction processing routine that can run on the processor, described image noise reduction process program is by the processor
The step of image noise reduction processing method as described in any one of claims 1 to 7 is realized when execution.
10. a kind of computer storage medium, which is characterized in that be stored with image noise reduction processing journey in the computer storage medium
Sequence realizes the image noise reduction as described in any one of claims 1 to 7 when described image noise reduction process program is executed by processor
The step of processing method.
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