WO2018230465A1 - Système de traitement d'élimination de bruit, circuit de traitement d'élimination de bruit et procédé de traitement d'élimination de bruit - Google Patents

Système de traitement d'élimination de bruit, circuit de traitement d'élimination de bruit et procédé de traitement d'élimination de bruit Download PDF

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WO2018230465A1
WO2018230465A1 PCT/JP2018/022050 JP2018022050W WO2018230465A1 WO 2018230465 A1 WO2018230465 A1 WO 2018230465A1 JP 2018022050 W JP2018022050 W JP 2018022050W WO 2018230465 A1 WO2018230465 A1 WO 2018230465A1
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wavelet transform
inverse
wavelet
circuit
transform
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PCT/JP2018/022050
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English (en)
Japanese (ja)
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栄太 小林
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日本電気株式会社
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Publication of WO2018230465A1 publication Critical patent/WO2018230465A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/10—Image enhancement or restoration using non-spatial domain filtering
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/14—Picture signal circuitry for video frequency region
    • H04N5/21—Circuitry for suppressing or minimising disturbance, e.g. moiré or halo
    • H04N5/213—Circuitry for suppressing or minimising impulsive noise
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20064—Wavelet transform [DWT]

Definitions

  • the present invention relates to a noise removal processing system, a noise removal processing method, and a noise removal processing circuit, and more particularly, a noise removal processing system, a noise removal processing circuit, and a noise removal processing method for removing noise in an image by using a plurality of wavelet transforms.
  • a noise removal processing system for removing noise in an image by using a plurality of wavelet transforms.
  • JPEG Joint Photographic Experts Group
  • discrete cosine transform which is a process of transforming the spatial signal of the image into the frequency domain
  • the amount of data is reduced by performing entropy coding after the reduction.
  • JPEG 2000 which is a standard following JPEG, employs a compression method using discrete wavelet transform.
  • the discrete wavelet transform is simply referred to as wavelet transform since it is intended for digital signals.
  • wavelet transform pixel values for several pixels are input, and the pixel value of the input image is separated into a low frequency component and a high frequency component, respectively.
  • the low frequency component In the 2D wavelet transform, horizontal wavelet transform and vertical wavelet transform are performed in order.
  • the low frequency component When the low frequency component is separated into the low frequency component and the high frequency component in the horizontal direction and the vertical direction, the low frequency component relatively retains the color information of the original image.
  • a portion where the pixel value changes abruptly in an image, that is, a vibration component derived from object edge information or noise information is held.
  • the two-dimensional image is separated into a low frequency component and a high frequency component in the horizontal direction and the vertical direction, respectively.
  • FIG. 16 is an explanatory diagram showing a state in which a two-dimensional wavelet transform is applied to a two-dimensional image.
  • wavelet transform When wavelet transform is applied to 2 ⁇ 2 4 pixels, it is separated into a low frequency component of 1 pixel and a high frequency component of 3 pixels.
  • the two-dimensional image is separated into the first high-frequency component, the second high-frequency component, and the low-frequency component by accumulating only the low-frequency components and performing wavelet transform only on the low-frequency components again. .
  • performing wavelet transform a plurality of times and converting it to a plurality of frequency bands is called multi-resolution analysis by wavelet transform.
  • Non-Patent Document 1 describes an image noise removal processing method using wavelet transform.
  • FIG. 17 is an explanatory diagram illustrating an image noise removal processing method.
  • processing is performed by separating into a plurality of frequency bands by multi-resolution analysis by wavelet transform and degenerating noise included in high-frequency components in each band. This process is called wavelet shrinkage. Thereafter, inverse wavelet transform is performed on the high-frequency component and low-frequency component in which noise is degenerated, thereby restoring the original image information.
  • Patent Document 1 describes a configuration example of a system that performs two-dimensional wavelet transform by stream processing.
  • input is received in the order of raster scan, and the first wavelet transform is performed.
  • the low frequency component output from the first wavelet transform is accumulated in the memory (line buffer), and the second frequency component is stored in the line buffer when the low frequency component necessary for executing the second wavelet transform is accumulated in the line buffer.
  • Wavelet transform is performed.
  • Patent Document 2 describes a noise removal processing system that can remove noise contained in a signal while suppressing an increase in the amount of memory to be used. Specifically, in Patent Document 2, in addition to the above-described line buffer for wavelet transform, high-frequency components are accumulated until the first inverse wavelet transform is performed after the first wavelet transform is performed. It is stated that the memory is required.
  • FIG. 18 is an explanatory diagram illustrating an example of a noise removal processing circuit that performs multi-resolution analysis in which wavelet transformation is performed three times and wavelet degeneration.
  • Patent Documents 1 and 2 disclose solution means for reducing these necessary memory amounts, but the noise removal processing circuit illustrated in FIG. 18 does not completely eliminate these solution means. Absent.
  • Patent Document 1 and Patent Document 2 have a plurality of problems.
  • the first is that the total amount of memory required is large.
  • the reason is that since the pixel value with decimal precision frequency-converted by the wavelet transform is stored in the memory, the amount of data per pixel increases compared to the input pixel value with integer precision.
  • control circuits that read and write memory is large, and each has a different configuration, which makes control complicated. This is because many various means in the circuit exchange data via various memories.
  • an object of the present invention is to provide a noise removal system, a noise removal processing circuit, and a noise removal processing method that can remove noise contained in a signal while suppressing an increase in memory to be used.
  • the noise elimination processing system stores a plurality of lines of pixels received in units of lines, reads a plurality of lines of pixels stored in the storage means, and reads each line included in the plurality of lines at the same timing.
  • First wavelet transform means for performing wavelet transform to generate a plurality of first high-frequency components and a plurality of first low-frequency components; and a wavelet transform at the same timing for each of the plurality of first low-frequency components.
  • a second wavelet transform unit that generates a second high frequency component and a second low frequency component, a first wavelet degeneration unit that degenerates a noise component from the plurality of first high frequency components, A second wavelet reduction means for reducing the noise component from the two high-frequency components, and a second high-frequency component in which the noise component is reduced
  • a first inverse wavelet transform unit that performs inverse wavelet transform based on the two low frequency components, generates and outputs a first inverse transform signal, and a plurality of first high frequency components in which noise components are degenerated
  • a second inverse wavelet transform unit that performs inverse wavelet transform based on the first inverse transform signal and generates and outputs a second inverse transform signal.
  • the noise removal processing circuit reads a plurality of lines of pixels stored in the storage circuit and stores a plurality of lines of pixels received in units of lines, and reads each line included in the plurality of lines at the same timing.
  • a first wavelet transform circuit that performs wavelet transform and generates a plurality of first high-frequency components and a plurality of first low-frequency components, and a wavelet transform at the same timing for each of the plurality of first low-frequency components
  • a second wavelet transform circuit that generates a second high-frequency component and a second low-frequency component, a first wavelet degeneration circuit that degenerates a noise component from the plurality of first high-frequency components, A second wavelet degeneration circuit that degenerates a noise component from the two high-frequency components, a second high-frequency component in which the noise component is degenerated, and a second
  • a first inverse wavelet transform circuit that performs inverse wavelet transform based on the low-frequency component, generates and outputs a first inverse-transform
  • the noise removal processing method accumulates a plurality of lines of pixels received in units of lines, reads the accumulated pixels of the plurality of lines, and performs wavelet transform at the same timing on each line included in the plurality of lines. To generate a plurality of first high-frequency components and a plurality of first low-frequency components, and perform a wavelet transform on each of the plurality of first low-frequency components at the same timing, thereby obtaining a second high-frequency component.
  • the noise component is degenerated from the plurality of first high-frequency components, the noise component is degenerated from the second high-frequency component, and the second high-frequency component in which the noise component is degenerated
  • the first inverse transform signal is generated and output, and the noise components are degenerated.
  • the inverse wavelet transform based on the first high frequency component and a first inverted signal By performing the inverse wavelet transform based on the first high frequency component and a first inverted signal, and outputs to generate a second inverted signal.
  • FIG. 1 is a block diagram which shows one Embodiment of the noise removal processing system by this invention. It is explanatory drawing which shows the structural example of the 1st wavelet transform means. It is explanatory drawing which shows the structural example of the 2nd wavelet transformation means. It is explanatory drawing which shows the structural example of the 1st wavelet reduction means 140. FIG. It is explanatory drawing which shows the structural example of the 2nd wavelet reduction means 150. FIG. It is explanatory drawing which shows the operation example of a noise removal processing system. It is a block diagram which shows one Embodiment of the noise removal processing circuit by this invention. 3 is an explanatory diagram illustrating a configuration example of a first wavelet transform circuit 2020. FIG. FIG.
  • FIG. 11 is an explanatory diagram showing a configuration example of a second wavelet transform circuit 2030.
  • FIG. 11 is an explanatory diagram showing a configuration example of a third wavelet transform circuit 2040.
  • FIG. 1 is a block diagram showing an embodiment of a noise removal processing system according to the present invention.
  • the unidirectional arrows shown in FIG. 1 simply indicate the direction of information flow, and do not exclude bidirectionality.
  • the noise removal processing system 100 illustrated in FIG. 1 includes a storage unit 110, a first wavelet transform unit 120, a second wavelet transform unit 130, a first wavelet reduction unit 140, and a second wavelet reduction unit. 150, a second inverse wavelet transform unit 160, and a first inverse wavelet transform unit 170.
  • the storage unit 110 accepts pixel value input in units of lines and accumulates a plurality of predetermined lines. In the first embodiment, a case where the storage unit 110 outputs accumulated data of two lines will be described.
  • the storage unit 110 is realized by a memory or the like.
  • the first wavelet transform unit 120 reads a plurality of lines from the storage unit 110.
  • the first wavelet transform unit 120 performs two-dimensional wavelet transform on a plurality of lines at the same timing, and separates the plurality of lines into a plurality of first high frequency components and a plurality of first low frequency components.
  • the same timing here represents simultaneous or substantially simultaneous.
  • the second wavelet transform unit 130 receives the plurality of first low frequency components, performs wavelet transform on the plurality of first low frequency components at the same timing, and performs the second high frequency component and the second low frequency component. Separate into frequency components. Note that the same timing here also represents the same time or almost the same time.
  • the first wavelet reduction means 140 receives a plurality of first high frequency components and reduces noise components.
  • the second wavelet reduction means 150 receives the second high frequency component and reduces the noise component.
  • the second inverse wavelet transform unit 170 receives the second high frequency component and the second low frequency component from which noise is degenerated, performs inverse wavelet transform, and generates a second inverse transform signal.
  • the first inverse wavelet transform unit 160 receives a plurality of first high-frequency components from which noise is degenerated and a second inverse transform signal, and generates a pixel (first inverse transform signal) from which noise is degenerated. ,Output.
  • FIG. 2 is an explanatory diagram showing a configuration example of the first wavelet transform unit 120.
  • the first wavelet transform unit 120 includes a two-dimensional wavelet transform unit 121 and a two-dimensional wavelet transform unit 122 that separate a plurality of read lines into a low-frequency component corresponding to one pixel and a high-frequency component corresponding to three pixels. .
  • FIG. 3 is an explanatory diagram showing a configuration example of the second wavelet transform unit 130.
  • the second wavelet transform unit 130 includes a two-dimensional wavelet transform unit 131.
  • the contents of the two-dimensional wavelet transform unit 131 are the same as those of the two-dimensional wavelet transform unit 121 or the two-dimensional wavelet transform unit 122 included in the first wavelet transform unit 120.
  • FIG. 4 is an explanatory diagram showing a configuration example of the first wavelet degeneration means 140.
  • the first wavelet reduction means 140 includes a noise reduction means 141 and a noise reduction means 142 that receive high frequency components and reduce noise components.
  • FIG. 5 is an explanatory diagram showing a configuration example of the second wavelet degeneration means 150.
  • Second wavelet reduction means 150 includes noise reduction means 151.
  • the contents of the noise reduction means 151 are the same as those of the noise reduction means 141 or the noise reduction means 142 included in the first wavelet reduction means 140.
  • the first inverse wavelet transform unit 170 accepts a low frequency component corresponding to one pixel and a high frequency component corresponding to three pixels, and generates two inverse two-dimensional inverse wavelet transform units (not shown). including.
  • the second inverse wavelet transform unit 160 includes a two-dimensional inverse wavelet transform unit (not shown) similar to the two-dimensional inverse wavelet transform unit included in the first inverse wavelet transform unit 170.
  • FIG. 1 Each configuration illustrated in FIG. 1 generally operates as follows.
  • Storage unit 110 accepts input in units of lines and accumulates a plurality of lines.
  • the first wavelet transform unit 120 reads the pixel values of the accumulated plurality of lines.
  • the first wavelet transform unit 120 reads a plurality of lines, and the two-dimensional wavelet transform unit 121 and the two-dimensional wavelet transform unit 122 respectively input the read lines.
  • the two-dimensional wavelet transform unit 121 and the two-dimensional wavelet transform unit 122 operate simultaneously and output the first high-frequency component and the first low-frequency component, respectively. Note that the simultaneous operation includes not only the timing of operating completely simultaneously but also the timing of operating substantially simultaneously within a range that does not affect the processing of the subsequent second wavelet transform unit 130.
  • the second wavelet transform unit 130 receives the first low-frequency component output from the two-dimensional wavelet transform unit 121 and the two-dimensional wavelet transform unit 122.
  • the two-dimensional wavelet transform unit 131 separates the input first low frequency component into a second high frequency component and a second low frequency component.
  • the first wavelet degeneration means 140 inputs the first high frequency component.
  • the second wavelet degeneration means 150 inputs the second high frequency component.
  • the first wavelet reduction means 140 and the second wavelet reduction means 150 generate a high frequency component in which noise is reduced from the input high frequency component.
  • the second inverse wavelet transform means 170 receives the second low-frequency component and the second high-frequency component after noise reduction, and generates a second inverse-transform signal.
  • the first inverse wavelet transform means 160 receives the second inverse transform signal and the first high frequency component after noise reduction, and generates a first inverse transform signal.
  • the noise removal processing system 100 outputs the generated first inverse transform signal.
  • the wavelet transform unit 170 may be realized as a part of the noise removal processing circuit.
  • FIG. 6 is an explanatory diagram illustrating an operation example of the noise removal processing system of the present embodiment.
  • the first wavelet transform unit 120 reads a plurality of lines simultaneously from the storage unit 110, performs two two-dimensional wavelet transforms in parallel, and separates them into a first low-frequency component and a first high-frequency component ( Step A2).
  • the first wavelet transform unit 120 immediately inputs the generated first low-frequency component to the second wavelet transform unit 130.
  • the second wavelet transform unit 130 performs the two-dimensional wavelet transform again, and separates the input first low-frequency component into a second low-frequency component and a second high-frequency component (step A3).
  • the second wavelet reduction means 150 performs noise component reduction processing on the input second high frequency component, and outputs the second high frequency component after the noise removal processing (step A4).
  • the second inverse wavelet transform means 170 receives the second high frequency component and the second low frequency component after the noise removal processing, and performs the two-dimensional inverse wavelet transform.
  • the second inverse wavelet transform unit 170 outputs the generated second inverse transform signal (step A5).
  • the first wavelet reduction means 140 performs a noise component reduction process on the input first high frequency component and outputs the first high frequency component after the noise removal process (step A6).
  • the first inverse wavelet transform unit 160 inputs the first high-frequency component and the second inverse transform signal after the noise removal processing, and performs the two-dimensional inverse wavelet transform.
  • the first inverse wavelet transform unit 160 outputs the generated first inverse transform signal.
  • the first inverse transform signal is output as the processing result of the noise removal processing system 100 (step A7).
  • the storage unit 110 accumulates a plurality of lines of received pixels in units of lines, and the first wavelet transform unit 120 reads the accumulated pixels of the plurality of lines and stores them in the plurality of lines.
  • a plurality of first high frequency components and a plurality of first low frequency components are generated by performing wavelet transform at the same timing on each included line.
  • the second wavelet transform unit 130 performs the wavelet transform on the plurality of first low frequency components at the same timing, thereby generating the second high frequency component and the second low frequency component.
  • the first wavelet reduction means 140 reduces the noise component from the plurality of first high frequency components
  • the second wavelet reduction means 140 reduces the noise component from the second high frequency component.
  • the second inverse wavelet transform unit 170 performs the inverse wavelet transform based on the second high-frequency component and the second low-frequency component in which the noise component is degenerated, thereby obtaining the first inverse-transform signal.
  • the first inverse wavelet transforming unit 170 performs the inverse wavelet transform on the basis of the plurality of first high frequency components and the first inverse transform signal in which the noise components are degenerated. 2 is generated and output. Therefore, noise included in the signal can be removed while suppressing an increase in the memory to be used.
  • a plurality of lines of input pixels are first accumulated, and then pixels of a plurality of lines are supplied to the first wavelet transform unit 120.
  • the first wavelet transform unit 120 simultaneously generates a low-frequency component necessary for the second wavelet transform by performing a plurality of two-dimensional wavelet transforms. Therefore, the first wavelet transform and the second wavelet transform are performed almost simultaneously.
  • the accumulated data is not the data after frequency conversion but an integer pixel value (integer precision data)
  • the amount of accumulated data is reduced as compared with a general method.
  • the memory unit 110 can be realized by a single memory without being distributed, the area is reduced by reducing the number of circuits for controlling the memory unit 110. Further, since the number of control circuits is reduced, the control is simplified.
  • the noise removal processing system performs wavelet transformation twice.
  • the number of wavelet transforms performed by the noise removal processing system of the present invention is not limited to two, and may be three or more.
  • one or more intermediate wavelet transform means for generating a plurality of high frequency components and a plurality of low frequency components from the plurality of low frequency components are the first wavelet transform means and the second wavelet transform means. It may be provided between.
  • one or more intermediate wavelet reduction means for reducing noise components from a plurality of high frequency components are connected to each of the intermediate wavelet transform means.
  • one or more intermediate inverse wavelet transform means that performs inverse wavelet transform based on a plurality of high-frequency components with reduced noise components and the inverse transform signal, and generates and outputs a new inverse transform signal.
  • the first wavelet transform unit inputs the first low frequency component to the intermediate wavelet transform unit, and the intermediate wavelet transform unit converts the generated plurality of low frequency components into another intermediate wavelet transform unit or the second wavelet transform unit.
  • the first inverse wavelet transform unit inputs the generated first inverse transform signal to the intermediate inverse wavelet transform unit, and the intermediate inverse wavelet transform unit converts the generated inverse transform signal into another intermediate inverse wavelet transform unit. Or it inputs into the 2nd inverse wavelet transform means.
  • intermediate wavelet transforming means intermediate wavelet degeneration means, and intermediate inverse wavelet transforming means will be described in the configuration of a noise removal processing circuit described later.
  • FIG. 7 is a block diagram showing an embodiment of a noise removal processing circuit according to the present invention.
  • the noise removal processing circuit illustrated in FIG. 7 is a noise removal processing circuit using multi-resolution analysis that performs wavelet transformation three times.
  • the number of wavelet transformations performed by the noise removal processing circuit of the present invention is not limited to three, and may be two or four or more.
  • the noise removal processing circuit 2000 illustrated in FIG. 7 includes a line buffer 2010, a first wavelet transform circuit 2020, a second wavelet transform circuit 2030, a third wavelet transform circuit 2040, and a first wavelet degeneration circuit. 2050, second wavelet degeneration circuit 2060, third wavelet degeneration circuit 2070, first inverse wavelet transform circuit 2080, second inverse wavelet transform circuit 2090, and third inverse wavelet transform circuit 2100 It has.
  • the second wavelet transform circuit 2030, the second wavelet degeneration circuit 2060, and the second inverse wavelet transform circuit 2090 correspond to the above-described intermediate wavelet transform unit, intermediate wavelet degenerate unit, and intermediate inverse wavelet transform unit, respectively. .
  • the line buffer 2010 accepts pixel input in units of lines and accumulates a plurality of lines.
  • the first wavelet transform circuit 2020 includes four two-dimensional wavelet transform circuits inside.
  • the first wavelet transform circuit 2020 reads a plurality of lines from the line buffer 2010 into a first low-frequency component corresponding to 4 pixels and a first high-frequency component corresponding to 12 pixels (3 pixels ⁇ 4 parallel). To separate.
  • the second wavelet transform circuit 2030 includes two two-dimensional wavelet transform circuits inside.
  • the second wavelet transform circuit 2030 receives the first low-frequency component and separates it into a second low-frequency component corresponding to two pixels and a second high-frequency component.
  • the third wavelet transform circuit 2040 includes one two-dimensional wavelet transform circuit inside.
  • the third wavelet transform circuit 2040 receives the second low frequency component and separates it into a third low frequency component and a third high frequency component.
  • the first wavelet reduction circuit 2050 includes four noise reduction circuits inside.
  • Second wavelet reduction circuit 2060 includes two noise reduction circuits.
  • Third wavelet degeneration circuit 2070 includes one noise degeneration circuit.
  • the first inverse wavelet transform circuit 2080 includes four two-dimensional inverse wavelet transform circuits inside.
  • the second inverse wavelet transform circuit 2090 includes two two-dimensional inverse wavelet transform circuits therein.
  • the third inverse wavelet transform circuit 2100 includes one two-dimensional inverse wavelet transform circuit therein.
  • the noise removal processing circuit 2000 is realized by a dedicated circuit such as an ASIC (Application Specified Integral Circuit), for example.
  • the noise removal processing circuit 2000 may be realized by a rewritable circuit device such as FPGA (Field Programmable Gate Gate Array).
  • the line buffer 2010 is realized by a volatile memory element such as SRAM (Static Random Access Memory) or DRAM (Dynamic Random Access Memory).
  • the line buffer 2010 includes an MRAM (Magnetic Resistive RAM, Magnetoresistive Memory), PRAM (Phase Change RAM, Phase Change Memory), ReRAM (Resistive RAM, Resistance Change Memory), STT-RAM (Spin Transfer Torque RAM). , Spin injection memory) or the like.
  • the line buffer 2010 may be realized by a hard disk (HD), a solid state drive (SSD), a flash memory, or the like, or may be realized by a disk medium such as FD, DVD, or CD.
  • HD hard disk
  • SSD solid state drive
  • flash memory or the like
  • the example given above shows an example of the line buffer 2010 and does not limit the application.
  • the line buffer 2010 can be realized as long as it can record information.
  • FIG. 8 is an explanatory diagram showing a configuration example of the first wavelet transform circuit 2020.
  • the first wavelet transform circuit 2020 includes a two-dimensional wavelet transform circuit 2021, a two-dimensional wavelet transform circuit 2022, a two-dimensional wavelet transform circuit 2023, and a two-dimensional wavelet transform circuit 2024.
  • FIG. 9 is an explanatory diagram showing a configuration example of the second wavelet transform circuit 2030.
  • the second wavelet transform circuit 2030 includes a two-dimensional wavelet transform circuit 2031 and a two-dimensional wavelet transform circuit 2032.
  • FIG. 10 is an explanatory diagram showing a configuration example of the third wavelet transform circuit 2040.
  • the third wavelet transform circuit 2040 includes a two-dimensional wavelet transform circuit 2041 and a two-dimensional wavelet transform circuit.
  • the first wavelet degeneration circuit 2050 includes four noise degeneration circuits (not shown), the second wavelet degeneration circuit 2060 includes two noise reduction circuits (not shown), and a third wavelet.
  • Degeneration circuit 2070 includes one noise degeneration circuit (not shown).
  • the first inverse wavelet transform circuit 2080 includes four two-dimensional inverse wavelet transform circuits (not shown), and the second inverse wavelet transform circuit 2090 includes two two-dimensional inverse wavelet transform circuits (not shown).
  • the third inverse wavelet transform circuit 2100 includes one two-dimensional inverse wavelet transform circuit (not shown).
  • the noise removal processing circuit 2000 including the above configuration generally operates as follows.
  • FIG. 11 is an explanatory diagram showing an example of wavelet transform in this specific example.
  • the third wavelet transform is performed from the frequency component after the first wavelet transform.
  • L1 to L3 of the pixels illustrated in FIG. 11 indicate the first to third low-frequency components, respectively
  • H1 to H3 of the pixels indicate the first to third high-frequency components, respectively.
  • the first wavelet transform circuit 2020, the second wavelet transform circuit 2030, and the third wavelet transform circuit 2040 each include a two-dimensional wavelet transform circuit.
  • the two-dimensional wavelet transform is realized by performing a discrete wavelet transform in the vertical direction and a discrete wavelet transform in the horizontal direction, respectively.
  • the wavelet transform includes a basic function that exists locally in space. This is called a mother wavelet, and the accuracy differs depending on the type of the mother wavelet.
  • a low frequency component of 1 pixel and a low frequency component of 3 pixels are generated from 2 ⁇ 2 input pixels.
  • description will be made using this Haar Wavelet.
  • a second low-frequency component corresponding to 4 pixels is required.
  • the first low-frequency component of 16 pixels corresponding to 4 ⁇ 4 pixels is necessary as illustrated in FIG.
  • FIG. 12 is an explanatory diagram showing another example of the wavelet transform in this specific example.
  • the first to third wavelet transforms are performed.
  • the first wavelet transform includes four two-dimensional wavelet transforms.
  • generated simultaneously is for 4 pixels in a perpendicular direction.
  • the second first wavelet transform is performed, a first low-frequency component corresponding to 2 ⁇ 2 pixels necessary for the second wavelet transform is generated.
  • the second second wavelet transform is performed.
  • a second low-frequency component corresponding to 2 ⁇ 2 pixels necessary for the third wavelet transform is generated, and the third wavelet transform is performed.
  • the first to third wavelet transforms are not performed at the same time.
  • a memory for accumulating low frequency components and a memory for accumulating high frequency components are not required. For this reason, it is possible to eliminate the memory for storing the intermediate data.
  • the number of two-dimensional wavelet transform circuits included in each wavelet transform circuit may be equal to or greater than the number of parallel in the vertical direction shown in this specific example.
  • the noise removal processing circuit 2000 arranges four two-dimensional wavelet transformation circuits in the vertical direction and further arranges 16 two-dimensional wavelets in which four circuits are arranged in the horizontal direction.
  • a configuration including conversion may be used.
  • the second low-frequency component corresponding to 2 ⁇ 2 pixels for performing the third wavelet transform can be generated simultaneously by performing the first wavelet transform only once. Even when any of the above configurations is adopted, the memory for storing the low frequency components in line units, that is, the memory for storing the intermediate data is eliminated, and the object of the present invention is achieved.
  • FIG. 13 is an explanatory diagram showing an operation example of the noise removal processing circuit according to the present invention.
  • the line buffer 2010 accumulates the pixel for a plurality of lines (step B1).
  • the wavelet transform is performed three times, when the mother wavelet is Haar Wavelet, the number of accumulated lines is eight.
  • the first wavelet transform circuit 2020 reads pixels of a plurality of lines simultaneously after a prescribed number of lines are accumulated in the line buffer 2010.
  • the first wavelet transform circuit 2020 separates the first low-frequency component and the first high-frequency component corresponding to four pixels by the four two-dimensional wavelet transform circuits operating in parallel (step B2).
  • the second wavelet transform circuit 2030 immediately inputs the first low frequency component generated in step B2 and separates it into the second low frequency component and the second high frequency component (step B3).
  • the third wavelet transform circuit 2040 immediately inputs the second low-frequency component generated in step B3 and separates it into a third low-frequency component and a third high-frequency component (step B4).
  • the third wavelet reduction circuit 2070 receives the third high-frequency component and generates a third high-frequency component with noise reduced (step B5).
  • the third inverse wavelet transform circuit 2100 receives the third high-frequency component and the third low-frequency component from which noise is degenerated, and generates a third inverse transform signal (step B6).
  • the second wavelet degeneration circuit 2060 receives the second high-frequency component, and generates a second high-frequency component with noise reduced (step B7).
  • the second inverse wavelet transform circuit 2090 receives the second high-frequency component from which noise has been degenerated and the third inverse transform signal, and generates a second inverse transform signal (step B8).
  • the first wavelet degeneration circuit 2050 receives the first high-frequency component and generates a first high-frequency component with noise reduced (step B9).
  • the first inverse wavelet transform circuit 2080 receives the first high frequency component from which noise is degenerated and the second inverse transform signal, and generates a first inverse transform signal.
  • the noise removal processing circuit 2000 outputs a first inverse conversion signal as a processing result (step B10).
  • the first wavelet degeneration circuit includes four noise degeneration circuits.
  • the included noise degeneration circuit there is no particular limitation on the included noise degeneration circuit.
  • the third inverse wavelet transform needs to be executed and finished. In other words, there is no problem if Step B9 is completed before Step B8 is completed.
  • the parallelism of the noise reduction circuit included in the first wavelet reduction circuit 2050 is not particularly limited.
  • Haar Wavelet is assumed.
  • the discrete wavelet transform there is also a method of generating a low frequency component corresponding to one pixel from seven pixels or nine pixels.
  • FIG. 14 is a block diagram showing an outline of a noise removal processing system according to the present invention.
  • a noise removal processing system 80 illustrated in FIG. 14 reads a storage unit 81 (for example, the storage unit 110) that accumulates a plurality of pixels received in units of lines, and reads a plurality of lines of pixels stored in the storage unit 81.
  • a first wavelet transform unit 82 (for example, a first wavelet transform unit 82) that performs wavelet transform on each line included in the plurality of lines at the same timing to generate a plurality of first high-frequency components and a plurality of first low-frequency components.
  • Wavelet transform means 120 and second wavelet transform means for generating a second high-frequency component and a second low-frequency component by performing wavelet transform on the plurality of first low-frequency components at the same timing.
  • 83 for example, the second wavelet transform unit 130
  • Wavelet reduction means 84 for example, first wavelet reduction means 140
  • second wavelet reduction means 85 for example, second wavelet reduction means 150
  • the first inverse wavelet transform means 86 (for example, for generating and outputting the first inverse transform signal by performing inverse wavelet transform based on the second high frequency component and the second low frequency component in which is degenerated Based on the second inverse wavelet transform means 170), the plurality of first high frequency components with the noise components degenerated and the first inverse transform signal, the inverse wavelet transform is performed to generate the second inverse transform signal.
  • Second inverse wavelet transforming means 87 for example, first inverse wavelet
  • the noise removal processing system 80 is provided between the first wavelet transform unit 82 and the second wavelet transform unit 83, and generates a plurality of high frequency components and a plurality of low frequency components from the plurality of low frequency components.
  • One or more intermediate wavelet transform means for example, the second wavelet transform circuit 2030
  • one or more intermediate wavelet degeneration means for example, the second wavelet transform circuit 2030
  • the second wavelet degeneration circuit 2060) and the intermediate wavelet degeneration means are connected to each other, and the inverse wavelet transform is performed based on the plurality of high frequency components with the noise components degenerated and the inverse transform signal, and a new inverse transform signal is obtained.
  • One or more intermediate inverse wavelet transform means (for example, a second inverse software) to be generated and output Wavelet transform circuit) and may comprise.
  • the first wavelet transform unit 82 inputs the first low-frequency component to the intermediate wavelet transform unit, and the intermediate wavelet transform unit converts the generated plurality of low-frequency components into another intermediate wavelet transform unit or the second wavelet transform unit.
  • the first inverse wavelet transform unit 82 inputs the generated first inverse transform signal to the intermediate inverse wavelet transform unit, and the intermediate inverse wavelet transform unit outputs the generated inverse transform signal.
  • 87 may be input to other intermediate inverse wavelet transform means or second inverse wavelet transform means.
  • each wavelet transform unit may include two-dimensional wavelet transform units (for example, two-dimensional wavelet transform units 121, 122, 131) having different parallel degrees.
  • the parallelism of the two-dimensional wavelet transform unit included in the wavelet transform unit that performs wavelet transform using the generated low-frequency component is the two-dimensional wavelet included in the wavelet transform unit that is the transmission source of the low-frequency component. Less than parallelism of conversion means.
  • the wavelet transforming means for transmitting the low frequency component to the other wave red transforming means is a two-dimensional two-dimensional wavelet transforming means compared with the two-dimensional wavelet transforming means included in the destination wavelet transforming means. May be included.
  • the first wavelet transform means when the number of times of performing the wavelet transform is N, the first wavelet transform means generates 2 (N ⁇ 1) first low-frequency components from a plurality of lines of pixels, and each wavelet The converting means may perform the wavelet transform at substantially the same timing (simultaneously or almost simultaneously).
  • FIG. 15 is a block diagram showing an outline of a noise removal processing circuit according to the present invention.
  • the noise removal processing circuit 90 illustrated in FIG. 15 reads a storage circuit 91 (for example, a line buffer 2010) that stores a plurality of lines of pixels received in units of lines, and reads a plurality of lines of pixels stored in the storage circuit 91.
  • a first wavelet transform circuit 92 (for example, a first wavelet transform circuit 92) that performs wavelet transform on each line included in the plurality of lines at the same timing to generate a plurality of first high-frequency components and a plurality of first low-frequency components.
  • Wavelet transform circuit 2020 and a second wavelet transform circuit that performs a wavelet transform on the plurality of first low-frequency components at the same timing to generate a second high-frequency component and a second low-frequency component.
  • 93 for example, the third wavelet transform circuit 2040
  • a first wavelet degeneration circuit 94 for example, a first wavelet degeneration circuit 2050
  • a second wavelet degeneration circuit 95 for example, a third wavelet degeneration circuit 2070
  • a first inverse wavelet transform circuit 96 that performs inverse wavelet transform based on the second high frequency component and the second low frequency component in which the noise component is degenerated, and generates and outputs a first inverse transform signal.
  • the inverse wavelet transform is performed based on the plurality of first high-frequency components with the noise components degenerated and the first inverse transform signal, and the second inverse transform is performed.
  • a second inverse wavelet transform circuit 97 (for example, a first inverse wavelet transform circuit 2080) that generates and outputs a signal. .
  • the noise removal processing circuit 90 is provided between the first wavelet transform circuit 92 and the second wavelet transform circuit 93, and generates a plurality of high frequency components and a plurality of low frequency components from the plurality of low frequency components.
  • One or more intermediate wavelet transform circuits for example, the second wavelet transform circuit 2030
  • one or more intermediate wavelet degeneration circuits for example, the second wavelet transform circuit 2030
  • degenerate noise components from a plurality of high frequency components (for example, A second wavelet degeneration circuit 2060) and a plurality of high-frequency components with noise components degenerated and an inverse transform signal connected to each of the intermediate wavelet degeneration circuits, and an inverse wavelet transform is performed to generate a new inverse transform signal.
  • One or more intermediate inverse wavelet transform circuits to generate and output may be equipped with.
  • the first wavelet transform circuit 92 inputs the first low-frequency component to the intermediate wavelet transform circuit, and the intermediate wavelet transform circuit converts the generated plurality of low-frequency components into another intermediate wavelet transform circuit or the second wavelet transform circuit.
  • the first inverse wavelet transform circuit inputs the generated first inverse transform signal to the intermediate inverse wavelet transform circuit, and the intermediate inverse wavelet transform circuit receives the generated inverse transform signal as follows: It may be input to another intermediate inverse wavelet transform circuit or second inverse wavelet transform circuit 97.
  • (Appendix 1) Storage means for accumulating a plurality of lines of pixels received in units of lines, and reading the pixels of a plurality of lines stored in the storage means, and performing wavelet transform at the same timing for each line included in the plurality of lines
  • First wavelet transforming means for generating a plurality of first high-frequency components and a plurality of first low-frequency components, and performing a wavelet transform on the plurality of first low-frequency components at the same timing.
  • Second wavelet transform means for generating a second high frequency component and a second low frequency component, first wavelet degeneration means for degenerating noise components from the plurality of first high frequency components, and the second Second wavelet degeneration means for degenerating a noise component from the high frequency component of the second, the second high frequency component with the noise component degenerated and the second
  • a first inverse wavelet transform unit that performs an inverse wavelet transform based on the frequency component to generate and output a first inverse transform signal; the plurality of first high frequency components in which a noise component is degenerated;
  • a noise removal processing system comprising: a second inverse wavelet transform unit that performs an inverse wavelet transform based on the first inverse transform signal and generates and outputs a second inverse transform signal.
  • (Appendix 2) One or more intermediate wavelet transforms that are provided between the first wavelet transform unit and the second wavelet transform unit and generate a plurality of high frequency components and a plurality of low frequency components from a plurality of low frequency components Means, one or more intermediate wavelet reduction means connected to each of the intermediate wavelet transform means for reducing noise components from the plurality of high frequency components, and a plurality of noise components reduced by being connected to each of the intermediate wavelet reduction means.
  • One or more intermediate inverse wavelet transforming means for generating and outputting a new inverse transform signal based on the high-frequency component and the inverse transform signal, and outputting a new inverse transform signal.
  • the first wavelet transform means comprises: 1 low frequency component is input to the intermediate wavelet transform unit, and the intermediate wavelet transform unit generates A number of low frequency components are input to other intermediate wavelet transform means or second wavelet transform means, and the first inverse wavelet transform means inputs the generated first inverse transform signal to the intermediate inverse wavelet transform means. And the intermediate inverse wavelet transform unit inputs the generated inverse transform signal to another intermediate inverse wavelet transform unit or second inverse wavelet transform unit.
  • each wavelet transform unit includes two-dimensional wavelet transform units having different parallel degrees.
  • the degree of parallelism of the two-dimensional wavelet transform unit included in the wavelet transform unit that performs wavelet transform using the generated low-frequency component is the two-dimensionality included in the wavelet transform unit that is the transmission source of the low-frequency component.
  • the wavelet transformation means which transmits a low-frequency component to other wave red transformation means is a two-dimensional two-dimensional wavelet transformation means compared with the two-dimensional wavelet transformation means included in the destination wavelet transformation means.
  • the wavelet transform means is the noise removal processing system according to any one of appendix 1 to appendix 5, in which the wavelet transform is performed at substantially the same timing.
  • a storage circuit for storing a plurality of lines of pixels received in units of lines, and a plurality of lines of pixels stored in the storage circuit are read, and wavelet transform is performed on each line included in the plurality of lines at the same timing.
  • a second wavelet transform circuit that generates a second high frequency component and a second low frequency component, a first wavelet degeneration circuit that degenerates a noise component from the plurality of first high frequency components, and the second A second wavelet degeneration circuit that degenerates a noise component from the high-frequency component of the second, a second high-frequency component in which the noise component is degenerated, and the second A first inverse wavelet transform circuit that performs inverse wavelet transform based on the frequency component, generates and outputs a first inverse transform signal, and the plurality of first high frequency components in which noise components are degenerated and
  • a noise removal processing circuit comprising: a second inverse wavelet transform circuit that performs inverse wavelet transform based on the first inverse transform signal and generates and outputs a second inverse transform signal.
  • One or more intermediate wavelet transforms provided between the first wavelet transform circuit and the second wavelet transform circuit and generating a plurality of high frequency components and a plurality of low frequency components from the plurality of low frequency components
  • the inverse wavelet transform is performed based on the high-frequency component and the inverse transform signal, and includes one or more intermediate inverse wavelet transform circuits that generate and output a new inverse transform signal.
  • the first wavelet transform circuit includes: 1 low frequency component is input to the intermediate wavelet transform circuit, and the intermediate wavelet transform circuit generates A number of low frequency components are input to another intermediate wavelet transform circuit or a second wavelet transform circuit, and the first inverse wavelet transform circuit inputs the generated first inverse transform signal to the intermediate inverse wavelet transform circuit.
  • the noise removal processing circuit according to appendix 7, wherein the intermediate inverse wavelet transform circuit inputs the generated inverse transform signal to another intermediate inverse wavelet transform circuit or a second inverse wavelet transform circuit.
  • each of the wavelet transform circuits includes a two-dimensional wavelet transform circuit having a different degree of parallelism.
  • the degree of parallelism of the two-dimensional wavelet transformation circuit included in the wavelet transformation circuit that performs wavelet transformation using the generated low-frequency component is the two-dimensionality included in the wavelet transformation circuit that is the transmission source of the low-frequency component.
  • the wavelet transformation circuit which transmits a low frequency component to another wave red transformation circuit has a two-dimensional two-dimensional wavelet transformation circuit compared with the two-dimensional wavelet transformation circuit contained in the wavelet transformation circuit of a transmission destination.
  • the noise removal processing circuit according to appendix 9 or appendix 10.
  • the first wavelet transform circuit When the number of times of performing wavelet transform is N, the first wavelet transform circuit generates 2 (N ⁇ 1) first low-frequency components from pixels of a plurality of lines, The wavelet transform circuit according to any one of appendix 7 to appendix 11, wherein the wavelet transform is performed at substantially the same timing.
  • a plurality of lines are accumulated by accumulating a plurality of pixels received in line units, reading the accumulated pixels of the plurality of lines, and performing wavelet transform on each line included in the plurality of lines at the same timing. 1 high frequency component and a plurality of first low frequency components are generated, and wavelet transform is performed on each of the plurality of first low frequency components at the same timing, whereby a second high frequency component and a second low frequency component are generated.
  • a low-frequency component a noise component is degenerated from the plurality of first high-frequency components, a noise component is degenerated from the second high-frequency component, and the second high-frequency component in which the noise component is degenerated and the By performing inverse wavelet transform based on the second low frequency component, the first inverse transformed signal is generated and output, and the noise components are degenerated.
  • noise removal processing method characterized by generating and outputting a second inverted signal.
  • the present invention is suitably applied to applications such as removing a noise that deteriorates visibility in a system that requires visibility, such as a surveillance system and a surveillance camera.
  • the present invention is also suitably applied to the use of removing noise components that deteriorate the compression efficiency in still image and moving image compression processing and improving the compression efficiency.

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Abstract

La présente invention concerne un moyen de stockage (81) qui accumule de multiples lignes de pixels reçues dans des unités de ligne. Un premier moyen de transformée en ondelettes (82) lit les multiples lignes de pixels stockées dans le moyen de stockage (81), réalise une transformée en ondelettes avec la même base de temps sur chacune des multiples lignes, et génère de multiples premières composantes à haute fréquence et de multiples premières composantes à basse fréquence. Un premier moyen de transformée en ondelettes inverse (86) réalise une transformée en ondelettes inverse sur la base d'une deuxième composante à basse fréquence et d'une deuxième composante à haute fréquence pour laquelle une composante de bruit a été diminuée, et génère un premier signal de transformée inverse. Un deuxième moyen de transformée en ondelettes inverse (87) réalise une transformée en ondelettes inverse sur la base du premier signal de transformée inverse et des multiples premières composantes à haute fréquence pour lesquelles une composante de bruit a été diminuée, et génère un deuxième signal de transformée inverse.
PCT/JP2018/022050 2017-06-16 2018-06-08 Système de traitement d'élimination de bruit, circuit de traitement d'élimination de bruit et procédé de traitement d'élimination de bruit WO2018230465A1 (fr)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010187364A (ja) * 2009-01-19 2010-08-26 Nikon Corp 画像処理装置およびデジタルカメラ
WO2013145051A1 (fr) * 2012-03-28 2013-10-03 日本電気株式会社 Système de suppression de bruit, circuit de suppression de bruit, support non transitoire lisible par un ordinateur sur lequel un programme est enregistré, support de stockage, et procédé de suppression de bruit
WO2014077245A1 (fr) * 2012-11-13 2014-05-22 日本電気株式会社 Système d'élimination de bruit, procédé d'élimination de bruit et programme
JP2016082452A (ja) * 2014-10-17 2016-05-16 キヤノン株式会社 画像処理装置及び画像処理方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010187364A (ja) * 2009-01-19 2010-08-26 Nikon Corp 画像処理装置およびデジタルカメラ
WO2013145051A1 (fr) * 2012-03-28 2013-10-03 日本電気株式会社 Système de suppression de bruit, circuit de suppression de bruit, support non transitoire lisible par un ordinateur sur lequel un programme est enregistré, support de stockage, et procédé de suppression de bruit
WO2014077245A1 (fr) * 2012-11-13 2014-05-22 日本電気株式会社 Système d'élimination de bruit, procédé d'élimination de bruit et programme
JP2016082452A (ja) * 2014-10-17 2016-05-16 キヤノン株式会社 画像処理装置及び画像処理方法

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