KR20100135117A - Signal processing apparatus and method thereof - Google Patents

Abstract

PURPOSE: A signal processing device and a method thereof are provided to monitor data per corresponding weather through learning according to each weather property. CONSTITUTION: A control unit(440) selects monitoring corresponding to inputted image information through an input unit among preset plural modeling. The control unit removes noise component, which is included in the image information based on the characteristic of the selected modeling. A display unit(450) outputs image information which removed the noise component. The control unit selects modeling corresponding to weight sum having minimum value among a plurality of calculated weight sum among the plurality of modeling.

Description

Signal processing apparatus and method thereof {SIGNAL PROCESSING APPARATUS AND METHOD THEREOF}

The present invention relates to a signal processing apparatus and a method thereof.

Generally, a signal processing apparatus is a device which processes predetermined input data.

An object of the present invention is to collect and database the data for each weather, and through the learning (or training) by applying the fuzzy theory and neural network (data) for each of the database data for each weather The present invention provides a signal processing apparatus and a method for modeling the weather-specific data according to each weather characteristic.

Another object of the present invention is to pre-process the image information based on pre-modeled information for each weather according to the external weather changes the image information input through the camera provided in the mobile terminal (or driving vehicle) the image A signal processing device and a method for filtering (removing) noise information included in information are provided.

According to an aspect of the present invention, there is provided a signal processing method comprising: selecting a modeling corresponding to input image information from a plurality of preset modeling models; Removing noise components included in the image information based on the characteristics of the selected modeling; And outputting image information from which the noise component has been removed.

According to another aspect of the present invention, there is provided a signal processing method including selecting modeling corresponding to input weather information from a plurality of preset modeling models; Removing noise components included in the input image information based on the selected modeling characteristic; And outputting image information from which the noise component has been removed.

The signal processing apparatus according to the present invention for achieving the above objects, selecting a modeling corresponding to the image information input through the input unit from among a plurality of preset modeling, and included in the image information based on the characteristics of the selected modeling A control unit for removing noise components; And a display unit for outputting image information from which the noise component is removed.

In accordance with an aspect of the present invention, a signal processing apparatus selects a model corresponding to weather information from a plurality of preset models, and removes a noise component included in input image information based on characteristics of the selected modeling. A control unit; And a display unit for outputting image information from which the noise component is removed.

In accordance with an embodiment of the present invention, a signal processing apparatus and method thereof collect data for each weather and make a database, and apply the fuzzy theory and neural network to each database for each weather to learn (or train). By modeling (modeling) the data for each weather according to each weather characteristic, there is an effect that the characteristics of noise (noise) information for each weather can be confirmed.

In addition, the signal processing apparatus and the method according to an embodiment of the present invention, the pre-modeled information for each weather according to the external weather changes the image information input through the camera provided in the mobile terminal (or driving vehicle) By pre-processing the image information based on the filter and filtering the noise information included in the image information, it is possible to improve the quality of the image information provided to the user and to provide safe image information to the driver of the driving vehicle to maintain safe driving. It is effective.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, and the same or corresponding components will be denoted by the same reference numerals regardless of the reference numerals and redundant description thereof will be omitted.

1 is a block diagram showing a configuration of a mobile terminal 100 for explaining a signal processing apparatus according to an embodiment of the present invention.

The mobile terminal 100 may be implemented in various forms. For example, the mobile terminal 100 may be a mobile phone, a smart phone, a notebook computer, a digital broadcasting terminal, a personal digital assistant (PDA), a portable multimedia player (PMP), a navigation device (vehicle navigation device). , Etc.

As shown in FIG. 1, the mobile terminal 100 includes a wireless communication unit 110, an A / V input unit 120, a user input unit 130, a sensing unit 140, and an output unit 150. , A memory 160, an interface unit 170, a controller 180, a power supply unit 190, and the like. Not all components of the mobile terminal 100 shown in FIG. 1 are essential components, and the mobile terminal 100 may be implemented by more components than those shown in FIG. 1, and fewer components. The mobile terminal 100 may also be implemented.

The wireless communication unit 110 may include one or more components for performing wireless communication between the mobile terminal 100 and the wireless communication system or wireless communication between the mobile terminal 100 and the network in which the mobile terminal 100 is located. have. For example, the wireless communication unit 110 may include a broadcast receiving module 111, a mobile communication module 112, a wireless internet module 113, a short range communication module 114, a location information module 115, and the like. .

The broadcast receiving module 111 receives a broadcast signal and / or broadcast related information from an external broadcast management server through a broadcast channel. The broadcast channel may include a satellite channel, a terrestrial channel, and the like. The broadcast management server may mean a server that generates and transmits a broadcast signal and / or broadcast related information or a server that receives a pre-generated broadcast signal and / or broadcast related information and transmits the same to the mobile terminal 100. The broadcast related information may mean information related to a broadcast channel, a broadcast program, or a broadcast service provider. The broadcast signal may include not only a TV broadcast signal, a radio broadcast signal, and a data broadcast signal, but also a broadcast signal having a data broadcast signal combined with a TV broadcast signal or a radio broadcast signal.

Meanwhile, the broadcast related information may be provided through a mobile communication network, and in this case, may be received by the mobile communication module 112. The broadcast related information may exist in various forms. For example, it may exist in the form of Electronic Program Guide (EPG) of Digital Multimedia Broadcasting (DMB) or Electronic Service Guide (ESG) of Digital Video Broadcast-Handheld (DVB-H).

The broadcast receiving module 111 receives broadcast signals using various broadcasting systems, and in particular, digital multimedia broadcasting-terrestrial (DMB-T), digital multimedia broadcasting-satellite (DMB-S), and media forward link (MediaFLO). Digital broadcast signals can be received using digital broadcasting systems such as only), digital video broadcast-handheld (DVB-H), integrated services digital broadcast-terrestrial (ISDB-T), and the like. Of course, the broadcast receiving module 111 is configured to be suitable for all broadcasting systems that provide broadcasting signals as well as the digital broadcasting system described above. The broadcast signal and / or broadcast related information received through the broadcast receiving module 111 may be stored in the memory 160.

The mobile communication module 112 transmits and receives a radio signal with at least one of a base station, an external terminal, and a server on a mobile communication network. The wireless signal may include various types of data according to transmission and reception of voice call signals, video call signals, and / or text / multimedia messages.

The wireless internet module 113 refers to a module for wireless internet access, and the wireless internet module 113 may be embedded or external to the mobile terminal 100. Here, wireless Internet technologies include wireless LAN (WLAN), Wi-Fi, WiBro, WiMAX, World Interoperability for Microwave Access (WMAX), HSDPA (High Speed Downlink Packet Access), and the like. Can be used.

The short range communication module 114 means a module for short range communication. Here, as short range communication technology, Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, etc. may be used. .

The location information module 115 is a module for checking or obtaining the location of the mobile terminal. An example is a GPS module. The GPS module receives location information from a plurality of satellites. Here, the location information may include coordinate information represented by latitude and longitude. For example, the GPS module can measure the exact time and distance from three or more satellites and calculate three different distances accurately according to triangulation. A method of obtaining distance and time information from three satellites and correcting the error with one satellite may be used. In particular, the GPS module can obtain not only the location of latitude, longitude, and altitude but also accurate time together with three-dimensional speed information from the location information received from the satellite. As the location information module 115, a Wi-Fi Positioning System and / or a Hybrid Positioning System may be applied.

The A / V input unit 120 is for inputting an audio signal or a video signal, and the A / V input unit 120 includes a camera 121 and a microphone 122. May be included. The camera 121 processes an image frame such as a still image or a video obtained by an image sensor in a video call mode or a photographing mode. The processed image frame may be displayed on the display unit 151.

The image frame processed by the camera 121 may be stored in the memory 160 or transmitted to the outside through the wireless communication unit 110. Two or more cameras 121 may be configured according to the configuration type and / or usage environment of the mobile terminal.

The microphone 122 receives an external sound signal by a microphone in a call mode, a recording mode, a voice recognition mode, etc., and processes the external sound signal into electrical voice data. In the call mode, the processed voice data may be converted into a form transmittable to the mobile communication base station through the mobile communication module 112 and output. The microphone 122 may implement various noise removing algorithms for removing noise generated in the process of receiving an external sound signal.

The user input unit 130 generates input data for the user to control the operation of the mobile terminal. The user input unit 130 may include a key pad, a dome switch, a touch pad (static pressure / capacitance), a jog wheel, a jog switch, and the like.

The sensing unit 140 may be a mobile terminal 100 such as an open / closed state of the mobile terminal 100, a location of the mobile terminal 100, a presence or absence of a user contact, an orientation of the mobile terminal 100, an acceleration / deceleration of the mobile terminal 100, or the like. The sensing state of the mobile terminal 100 generates a sensing signal for controlling the operation of the mobile terminal 100. For example, when the mobile terminal 100 is a slide phone type, it may sense whether the slide phone is opened or closed. In addition, the sensing unit 140 is responsible for sensing functions related to whether the power supply unit 190 is supplied with power, whether the interface unit 170 is coupled to an external device, and the like. The sensing unit 140 may include a proximity sensor 141.

The output unit 150 is for outputting an audio signal (or a signal related to hearing) or a video signal (or a signal related to time) or an alarm signal or a signal related to a tactile sense, and the output unit 150. ) May include a display unit 151, a sound output module 152, an alarm unit 153, and a haptic module 154.

The display unit 151 displays (or outputs) information processed by the mobile terminal 100. For example, when the mobile terminal 100 is in a call mode, the mobile terminal 100 displays a user interface (UI) or a graphic user interface (GUI) related to the call. When the mobile terminal 100 is in a video call mode or a photographing mode, the mobile terminal 100 displays a photographed and / or received image, a UI, or a GUI.

The display unit 151 may include a liquid crystal display (LCD), a thin film transistor liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), and a flexible display. It may include at least one of a flexible display and a 3D display.

Some of these displays may be configured as transparent or light transmissive so that they can be seen through them. This may be referred to as a transparent display. A representative example of the transparent display is TOLED (Transparant OLED). The rear structure of the display unit 151 may also be configured as a light transmissive structure. By this structure, the user can see the object located behind the terminal body through the area occupied by the display unit 151 of the terminal body.

According to an implementation form of the mobile terminal 100, two or more display units 151 may exist. For example, a plurality of display units may be spaced apart or integrally disposed on one surface (same surface) in the mobile terminal 100, or may be disposed on different surfaces.

On the other hand, when the display unit 151 and a sensor for detecting a touch operation (hereinafter referred to as a touch sensor) form a mutual layer structure (hereinafter referred to as a touch screen), the display unit 151 Can be used as an input device in addition to the output device. The touch sensor may have, for example, a form of a touch film, a touch sheet, a touch pad, a touch panel, or the like.

In addition, the touch sensor may be configured to convert a change in pressure applied to a specific portion of the display unit 151 or capacitance generated at a specific portion of the display unit 151 into an electrical input signal. The touch sensor may be configured to detect not only the position and area of the touch but also the pressure at the touch. When there is a touch input to the touch sensor, the corresponding signal (s) is sent to a touch controller (not shown). The touch controller processes the signal (s) and then transmits the corresponding data to the controller 180. As a result, the controller 180 can determine which area of the display unit 151 is touched.

The proximity sensor 141 may be disposed in the inner region of the mobile terminal 100 surrounded by the touch screen or near the touch screen. The proximity sensor 141 refers to a sensor that detects the presence or absence of an object approaching a predetermined detection surface or an object present in the vicinity without using mechanical force or the force of an electromagnetic field. The proximity sensor 141 has a longer life and higher utilization than a contact sensor.

Examples of the proximity sensor 141 include a transmission type photoelectric sensor, a direct reflection type photoelectric sensor, a mirror reflection type photoelectric sensor, a high frequency oscillation type proximity sensor, a capacitive proximity sensor, a magnetic proximity sensor, and an infrared proximity sensor. When the touch screen is capacitive, the touch screen is configured to detect the proximity of the pointer by a change in an electric field according to the proximity of the pointer. In this case, the touch screen (touch sensor) may be classified as a proximity sensor.

Hereinafter, for convenience of explanation, the act of allowing the pointer to be recognized without being in contact with the touch screen so that the pointer is located on the touch screen is referred to as "Proximity Touch", and the touch The act of actually touching the pointer on the screen is called "Contact Touch". The position of the proximity touch with the pointer on the touch screen means a position where the pointer is perpendicular to the touch screen when the pointer is in proximity touch.

In addition, the proximity sensor 141 detects a proximity touch and a proximity touch pattern (for example, a proximity touch distance, a proximity touch direction, a proximity touch speed, a proximity touch time, a proximity touch position, and a proximity touch movement state). do. Information corresponding to the sensed proximity touch operation and proximity touch pattern may be output on the touch screen.

The sound output module 152 outputs audio data received from the wireless communication unit 110 or stored in the memory 160 in a call signal reception, a call mode or a recording mode, a voice recognition mode, a broadcast reception mode, and the like. In addition, the sound output module 152 outputs a sound signal related to a function (eg, a call signal reception sound, a message reception sound, etc.) performed in the mobile terminal 100. The sound output module 152 may include a receiver, a speaker, a buzzer, and the like.

The alarm unit 153 outputs a signal for notifying occurrence of an event of the mobile terminal 100. Examples of events generated in the mobile terminal 100 include call signal reception, message reception, key signal input, and touch input. The alarm unit 153 may output a signal for notifying an occurrence of an event in a form other than an audio signal or a video signal, for example, vibration. When a call signal is received or a message is received, the alarm unit 153 may vibrate the mobile terminal 100 through a vibration means. Alternatively, when the key signal is input, the alarm unit 153 may vibrate the mobile terminal 100 through the vibration means in response to the key signal input. The user can recognize the occurrence of the event through the vibration as described above. Of course, the signal for event occurrence notification may be output through the display unit 151 or the voice output module 152, so that they 151, 152 may be classified as part of the alarm unit 153.

The haptic module 154 generates various tactile effects that a user can feel. Vibration is a representative example of the haptic effect generated by the haptic module 154. The intensity and pattern of vibration generated by the haptic module 154 can be controlled. For example, different vibrations may be synthesized and output or may be sequentially output.

The haptic module 154, in addition to the vibration, the pin arrangement to move vertically with respect to the contact skin surface, the blowing force or suction force of the air through the injection or inlet, the grazing to the skin surface, the contact of the electrode (eletrode), the stimulation such as electrostatic force Various tactile effects can be produced, such as the effects of the heat-absorbing effect and the effect of reproducing a sense of cold using the elements capable of absorbing heat or heat.

The haptic module 154 may not only deliver the haptic effect through direct contact, but may also be implemented to allow the user to feel the haptic effect through a muscle sense such as a finger or an arm. Two or more haptic modules 154 may be provided according to the configuration of the portable terminal 100.

The memory 160 may store a program for processing and controlling the controller 180, and a function for temporarily storing input / output data (for example, a phone book, a message, a still image, a video, etc.). You can also do The memory 160 may store data relating to various patterns of vibration and sound output when a touch input on the touch screen is performed.

The memory 160 may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg, SD or XD memory). Random Access Memory (RAM) Static Random Access Memory (SRAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Programmable Read-Only Memory (PROM) magnetic memory, Magnetic It may include a storage medium of at least one type of disk, optical disk. In addition, the mobile terminal 100 may operate a web storage that performs a storage function of the memory 150 on the Internet, or may operate in connection with the web storage.

The interface unit 170 serves as an interface with all external devices connected to the mobile terminal 100. For example, the interface unit 170 may include a wired / wireless headset port, an external charger port, a wired / wireless data port, a memory card port, a port for connecting a device equipped with an identification module, An audio input / output (I / O) port, a video input / output (I / O) port, and an earphone port may be configured. Here, the identification module is a chip that stores various information for authenticating the use right of the mobile terminal 100, and includes a user identification module (UIM), a subscriber identify module (SIM), and universal user authentication. It may include a module (Universal Subscriber Identity Module (USIM)). In addition, the device equipped with the identification module (hereinafter referred to as an identification device) may be manufactured in the form of a smart card. Therefore, the identification module may be connected to the mobile terminal 100 through a port. The interface unit 170 may receive data from an external device or receive power and transmit the data to each component inside the mobile terminal 100 or transmit data within the mobile terminal 100 to an external device.

The interface unit 170 may be a passage through which power from the cradle is supplied to the mobile terminal 100 when the mobile terminal 100 is connected to an external cradle, or various commands input by the user from the cradle. It may be a passage through which a signal is transmitted to the mobile terminal 100. Various command signals or power input from the cradle may be operated as signals for recognizing that the mobile terminal 100 is correctly mounted on the cradle.

The controller 180 typically controls the overall operation of the mobile terminal 100. For example, the controller 180 performs related control and processing for voice call, data communication, video call, and the like. In addition, the controller 180 may include a multimedia module 181 for multimedia playback. The multimedia module 181 may be implemented in the controller 180 or may be implemented separately from the controller 180.

The controller 180 may perform a pattern recognition process for recognizing a writing input or a drawing input performed on a touch screen as text and an image, respectively.

The power supply unit 190 receives an external power source and an internal power source under the control of the controller 180 to supply power for operation of each component.

The functions of the components applied to the mobile terminal 100 may be implemented in a computer-readable recording medium using software, hardware or a combination thereof. Hardware implementations include Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), Processors, Controllers The controller may be implemented using at least one of controllers, micro-controllers, microprocessors, and electrical units for performing functions. In some cases such embodiments may be implemented by the controller 180. In a software implementation, embodiments such as procedures or functions may be implemented with separate software modules that allow at least one function or operation to be performed. The software code may be implemented by a software application written in a suitable programming language. In addition, the software code may be stored in the memory 160 and executed by the controller 180. In addition, the navigation session 300 applied to the mobile terminal 100 provides a general navigation function.

Meanwhile, the controller 180 applied to the mobile terminal 100 according to an embodiment of the present invention selects any one of a plurality of previously stored models according to the weather mode, and selects characteristics of the selected modeling (frequency characteristics, RGB characteristics). The noise component included in the input image information can be removed.

2 is a block diagram showing the configuration of the telematics terminal 200 for explaining the signal processing apparatus according to an embodiment of the present invention. As shown in FIG. Processing Unit (CPU) 222, a main board having a built-in key control unit 221 for controlling various key signals, an LCD control unit 223 for controlling an LCD, and a memory 224 for storing various types of information. 220).

The memory 224 stores map information (map data) for displaying vehicle guidance information (road guidance information for guiding a user during driving / non-driving) on a map of the display unit (or LCD) 211.

In addition, the memory 224 stores a traffic information collection control algorithm for inputting traffic information according to a road condition on which the vehicle is currently traveling and various information for controlling the algorithm.

The main board 220 is a communication module 201 that is assigned a unique device number and performs voice calls and data transmission and reception through a mobile communication terminal embedded in a vehicle, and guides the location of the vehicle and travels from the starting point to the destination. A GPS module 202 for receiving a GPS signal for path tracking and the like, generating current location data of the vehicle based on the received GPS signal, or transmitting traffic information collected by a user as a GPS signal; A gyro sensor 203 for detecting the driving direction, a CD deck 204 for reproducing a signal recorded on a compact disk (CD), and the like.

In addition, the communication module 201 and the GPS module 202 transmit / receive signals through the first antenna 205 and the second antenna 206, respectively.

In addition, the main board 220 is connected to the TV module 230 that receives the broadcast signal through the broadcast signal antenna (or TV antenna) 231.

In addition, the main board 220 is connected to a liquid crystal display (LCD) 211 under the control of the LCD controller 223 through an interface board 213.

The LCD 211 performs a predetermined signal processing process on the broadcast signal received through the TV module 230, and then controls the signal processed broadcast signal by the LCD controller 223 on the interface board ( A video signal is displayed on the LCD 211 through 213, and the audio signal is output through the amplifier 254 under the control of the audio board 240 to be described later. In addition, the LCD 211 displays various video signals and text signals based on the control signals of the LCD control unit 223.

In addition, the LCD 211 may be configured to receive an input from a user by using a touch screen method.

In addition, the main board 220 is connected to the front board 212 under the control of the key controller 221 through the interface board 213. The front board 212 configures buttons and menus for inputting various key signals, and provides the main board 220 with a key signal corresponding to a key (or button) selected by a user. In addition, the front board 212 may include a menu key for directly inputting traffic information, and the menu key may be configured to be controlled by the key controller 221.

The audio board 240 is connected to the main board 220 and processes various audio signals. The audio board 240 includes a microcomputer 244 for controlling the audio board 240, a tuner 243 for receiving a radio signal through an antenna (or radio antenna) 245, And a power processor 242 for supplying power to the microcomputer 244, and a signal processor 241 for performing signal processing for outputting various voice signals.

In addition, the audio board 240 is connected to a radio antenna 245 for receiving a radio signal and a tape deck 246 for playing an audio tape.

In addition, the audio board 240 is connected to an amplifier 254 for outputting a sound signal processed by the audio board 240.

In addition, the amplifier 254 is connected to the vehicle interface 250. That is, the main board 220 and the audio board 240 are connected to the vehicle interface 250, respectively. In addition, the vehicle interface 250 may include a hands-free 251 for inputting a voice signal without using a vehicle driver's hand, an airbag 252 for providing passenger safety, and a speed sensor for detecting a vehicle speed. 253 and the like can be connected.

In addition, the speed sensor 253 calculates a vehicle speed and provides the calculated vehicle speed information to the central processing unit 222.

In addition, the navigation session 300 applied to the telematics terminal 200 provides a general navigation function.

On the other hand, the central processing unit 222 applied to the telematics terminal 200 according to an embodiment of the present invention, selects any one of a plurality of pre-stored modeling according to the weather mode, the characteristics of the selected modeling (frequency characteristics, Noise component included in the input image information based on the RGB characteristic).

Hereinafter, a configuration of a signal processing apparatus according to an embodiment of the present invention will be described with reference to FIG. 3. Here, the signal processing apparatus of FIG. 3 is not only a mobile terminal 100 and a telematics terminal 200 but also a smart phone, a portable terminal, a mobile terminal, and a personal information terminal. Digital Assistant: Applicable to various terminals such as PDA), notebook computer, Wibro terminal, IPTV (Internet Protocol Television) terminal, Telematics terminal, Navigation terminal, Audio Video Navigation (AVN) terminal, etc. Can be. The signal processing apparatus according to the present invention can also be applied to a vehicle or the like.

3 is a block diagram showing a configuration of a signal processing apparatus according to an exemplary embodiment of the present invention. As shown in the drawing, the signal processing apparatus 400 includes an input unit 410, a sensor unit 420, and a storage unit 430. ), A control unit 440, a display unit 450, a voice output unit 460, and a communication unit 470.

The input unit 410 receives a command or a control signal by an operation such as receiving a button operation by a user or touching / scrolling the displayed screen.

In addition, the input unit 410 may select a function desired by the user or receive information, and various devices such as a keypad, a touch screen, a jog shuttle, a microphone, and a mouse may be used.

In addition, the input unit 410 includes a microphone (not shown) and / or a camera (not shown), and receives voice information and / or image information (or image information) through the microphone and / or the camera. Can be.

In addition, when the signal processing device 400 is provided in a vehicle or the like, the input unit 410 includes a plurality of cameras, and the plurality of cameras are installed in the inside / outside of the vehicle, respectively, so that the front / It can be configured to photograph the back / side, etc. respectively.

The sensor unit 420 is provided at a predetermined position of the signal processing device 400 to detect weather (weather state or weather information). In this case, the sensor unit 420 may include a sensor capable of detecting weather (or weather) such as a temperature sensor, a humidity sensor, a pressure (atmospheric pressure) sensor, and an illumination sensor (amount of sunlight).

The storage unit 430 stores various user interfaces (UIs) and / or graphical user interfaces (GUIs).

In addition, the storage unit 430 stores data, a program, and the like necessary for the signal processing apparatus 400 to operate.

In addition, the storage unit 430 stores real-time image information input through the input unit 410.

In addition, the storage unit 430 stores the weather information detected by the sensor unit 420.

In addition, the storage unit 430 may be an information providing center (including a meteorological office) or an arbitrary mobile terminal (or a mobile terminal adjacent to a predetermined distance) connected to the signal processing apparatus 400 by wired / wireless communication. Data transmitted from) (including various information, control signals, image noise information (including fog, rain, snow, sunlight, lighting information, etc.), weather information, and noise classification (including fog, rain, snow, sunlight, lighting information, etc.) Information about the plurality of modelings defined in the table, information on a plurality of preset filtering methods corresponding to the plurality of noise-specific modeling, etc.). Here, the plurality of predetermined filtering methods mean a filtering method for removing the corresponding characteristic according to the characteristics of the modeling (the characteristic of the noise component).

In addition, the storage unit 430 may store information on a plurality of noise modeling trained (or learned) by the control unit 440.

The controller 440 executes an overall control function of the signal processing device 400.

In addition, the controller 440 sets a weather mode corresponding to the detected weather information based on the weather information detected by the sensor unit 420.

In addition, the control unit 440, the storage unit 430 to the information (including fog, rain, snow, sunlight, lighting information, etc.) of the noise of the image included in the data transmitted from the information providing center or the mobile terminal. ) By using a pre-stored application program (including fuzzy theory and neural network) to model the characteristics of each noise, and stores the information about each modeled modeling in the storage unit 430. That is, the controller 440 analyzes the frequency characteristics and RGB characteristics (intensity characteristics) for each component (fog, rain, snow, sunlight, lighting information, etc.) included in the image information, and analyzes the corresponding components. Model the characteristics of

In addition, the controller 440 may be configured to set a plurality of filtering methods corresponding to each of the modeled models using any application program pre-stored in the storage unit 430. Here, the plurality of filtering methods mean a filtering method for removing the corresponding characteristic according to the characteristics of the modeling (the characteristic of the noise component).

In addition, the controller 440 calculates a respective weighted sum of real-time image information input through the input unit 410 and information included in the modeled plurality of models, and calculates the plurality of calculated sums. The modeling corresponding to the weighted sum representing the minimum value among the weighted sum of is selected from the plurality of modeling. In addition, the controller 440 may use a filtering method (including characteristic information (including frequency characteristics or RGB characteristics) of the selected specific modeling) previously stored in the storage unit 430 corresponding to the specific modeling selected from the plurality of models. The noise component included in the image information input through the input unit 410 is removed. In addition, the controller 440 controls to output the decoded image information through the display unit 450 after decoding the image information from which the noise component is removed.

In addition, the controller 440 selects a model corresponding to the weather information from a plurality of models previously stored in the storage unit 430 based on the weather information transmitted from the information providing center or the mobile terminal. In addition, the controller 440 removes a noise component included in the image information input through the input unit 410 based on a specific modeling selected from the plurality of models. In addition, the controller 440 controls to output the decoded image information through the display unit 450 after decoding the image information from which the noise component is removed.

In addition, when there is no modeling corresponding to the weather information among the plurality of modeling, the controller 440 outputs the input image information through the display unit 450 by predetermined signal processing (including a decoding process). To control.

In addition, when a voice signal is input through the input unit 410, the controller 440 removes a noise component included in the voice signal through a predetermined signal processing process and removes the noise component. Control to output through the voice output unit 460.

In addition, when additional image information is input through the input unit 410 with respect to the plurality of previously stored models, the controller 440 may perform fuzzy theory and neural network on the input image information and the plurality of previously stored models. It may be controlled to update the plurality of pre-stored modeling by applying.

The display unit 450 may display various contents such as various menu screens using a user interface and / or a graphic user interface included in the storage unit 430 under the control of the controller 440. Here, the content displayed on the display unit 450 includes various text or image data (including map data and various information data) and a menu screen including data such as icons, list menus, combo boxes, and the like. In addition, the display unit 450 may be a touch screen.

In addition, the display unit 450 displays image information from which noise components are removed from the image information input through the input unit 410 under the control of the controller 440.

In addition, the display unit 450 displays a predetermined signal by processing the image information input through the input unit 410 under the control of the control unit 440.

The voice output unit 460 outputs voice information included in a signal processed by a predetermined signal by the controller 440. Here, the voice output unit 460 may be a speaker.

Also, the voice output unit 460 outputs voice information from which noise components included in the voice information input through the input unit 410 are controlled by the control unit 440.

In addition, the voice output unit 460 performs signal processing through a general (or predetermined) signal processing process and outputs voice information input through the input unit 410 under the control of the controller 440.

The communication unit 470 may include a wireless internet module or a short range communication module. The wireless Internet module may include WLAN, Wi-Fi, WiBro, WiMAX, HSDPA, and the like, and the short-range communication module may include Bluetooth, RFID, infrared communication, UWB, ZigBee, and the like.

In addition, the signal processing apparatus 400 may further include a general-purpose antenna capable of communicating with an external terminal through a wired / wireless communication network and transmitting / receiving signals of various frequency bands.

Hereinafter, a signal processing method according to the present invention will be described in detail with reference to FIGS. 1 to 5.

4 is a flowchart illustrating a signal processing method according to a first embodiment of the present invention.

First, the controller 440 calculates a plurality of weighted sums of respective information included in a plurality of models stored in the storage 430 and image information input through the input unit 410. In this case, the plurality of models are purged based on data collected by the information providing center / mobile terminal and / or the signal processing device 400 (including components such as fog, rain, snow, sunlight, and lighting information). Modeling the characteristics of each component using theory and / or neural network. In addition, the characteristic according to each component includes a frequency characteristic, RGB characteristic, and the like included in the image information. In addition, the plurality of modeling may be information transmitted from the information providing center or the mobile terminal.

For example, when fog modeling, rain modeling, snow modeling, sunlight modeling, and lighting modeling are respectively stored in the storage unit 430, the controller 440 may include a plurality of models and the input stored in the storage unit 430. Each weighted sum with the received video information is calculated (S110).

Thereafter, the controller 440 checks a weighted sum having a minimum value among the calculated weighted sums.

In addition, the control unit 440 confirms which modeling among the plurality of modeling weighted sums having the minimum value. For example, the controller 440 may check whether the weighted sum having the minimum value corresponds to the modeling of the fog modeling, the non-modeling, the eye modeling, the sunlight modeling, and the lighting modeling (S120).

Thereafter, the controller 440 applies (uses) the identified modeling characteristics (including frequency characteristics, RGB characteristics, etc.) to the input image information based on the identified modeling, and includes noise included in the image information. Remove the ingredients. That is, the controller 440 removes noise components included in the image information by preprocessing the input image information based on the identified modeling.

For example, when the weighted sum having the minimum value corresponds to the fog modeling, the controller 440 may be configured to remove a component corresponding to the RGB characteristic of the fog modeling from the input image information.

In addition, the controller 440 may be configured to remove noise components included in the input voice information through a predetermined signal processing process when the voice information is input together with the image information through the input unit 410. It may be (S130).

Thereafter, the controller 440 controls to display the decoded image information on the display unit 450 after decoding the image information from which the noise component has been removed.

In addition, the controller 440 controls to output the voice information from which the noise component is removed through the voice output unit 460 (S140).

As such, the collected weather information may be configured to be modeled according to each weather characteristic using a neural network.

In addition, one of the plurality of modeling may be selected based on the analyzed or received weather information, and the component corresponding to the characteristic of the selected modeling may be removed from the input image information.

5 is a flowchart illustrating a signal processing method according to a second embodiment of the present invention.

First, the controller 440 selects a model corresponding to the weather information from a plurality of models previously stored in the storage unit 430 based on weather information transmitted from a communication information providing center or any external terminal. At this time, the weather information indicates information on the current weather conditions. That is, the weather information may be information indicating a weather condition such as a fog mode, a rain mode, a snow mode, a sunlight mode, an illumination mode, and the like. In addition, the weather information, the controller 440 to check (or analyze) the weather information corresponding to the information based on the information detected by the sensor unit 420 provided in the signal processing device 400. It can also be configured. In addition, the plurality of models are purged based on data collected by the information providing center / mobile terminal and / or the signal processing apparatus 400 (including components such as fog, rain, snow, sunlight, and lighting information). The theory and / or neural network are used to model the characteristics of each component. In addition, the characteristic according to each component includes a frequency characteristic, RGB characteristic, and the like included in the image information. In addition, the plurality of modeling may be information transmitted from the information providing center or the mobile terminal.

For example, when the weather information transmitted from the communication information providing center or any external terminal includes the information on the fog mode, the controller 440, fog modeling, non-modeling stored in the storage unit 430 Fog modeling corresponding to the fog mode may be selected from a plurality of modeling including eye modeling, sunlight modeling, lighting modeling, and the like (S210).

Subsequently, the controller 440 applies (uses) the selected modeling characteristics (including frequency characteristics, RGB characteristics, etc.) to the image information input through the input unit 410 based on the selected modeling, and applies them to the image information. Remove the noise component involved. That is, the controller 440 removes noise components included in the image information by preprocessing the input image information based on the selected modeling.

For example, when the selected modeling is the fog modeling, the controller 440 may be configured to remove a component corresponding to the RGB characteristic of the fog modeling from the input image information.

In addition, the controller 440 may be configured to remove noise components included in the input voice information through a predetermined signal processing process when the voice information is input together with the image information through the input unit 410. It may also be (S220).

Thereafter, the controller 440 controls the display unit 450 to display the decoded image information after decoding the image information from which the noise component has been removed.

In addition, the controller 440 controls to output the decoded voice information through the voice output unit 460 after decoding the voice information from which the noise component has been removed (S230).

It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention but to describe the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the present invention.

1 is a block diagram showing a configuration of a mobile terminal for explaining a signal processing apparatus according to an embodiment of the present invention.

2 is a block diagram showing the configuration of a telematics terminal for explaining a signal processing apparatus according to an embodiment of the present invention.

3 is a block diagram showing a configuration of a signal processing apparatus according to an embodiment of the present invention.

4 is a flowchart illustrating a signal processing method according to a first embodiment of the present invention.

5 is a flowchart illustrating a signal processing method according to a second embodiment of the present invention.

Claims (10)

Selecting modeling corresponding to the input image information from among a plurality of preset modeling; Removing noise components included in the image information based on the characteristics of the selected modeling; And And outputting image information from which the noise component has been removed. The method of claim 1, wherein the preset plurality of modeling, Signal processing method characterized in that the model for each noise based on the data on the noise information of at least one of fog, rain, snow, sunlight, lighting. The method of claim 2, wherein the selecting of the modeling comprises: Calculating a weighted sum of each of the information included in the plurality of modeling and the input image information; Selecting a weighted sum having a minimum value among the calculated plurality of weighted sums; And And selecting the modeling corresponding to the weighted sum having the selected minimum value among the plurality of modelings. Selecting modeling corresponding to input weather information from a plurality of preset modeling; Removing noise components included in the input image information based on the selected modeling characteristic; And And outputting image information from which the noise component has been removed. The method of claim 4, wherein the weather information, A signal processing method comprising information on a weather condition including any one of a fog mode, a rain mode, a snow mode, a sunlight mode, and an illumination mode. A controller which selects a model corresponding to the image information input through the input unit from among a plurality of preset modeling, and removes a noise component included in the image information based on the selected modeling characteristic; And And a display unit for outputting image information from which the noise component has been removed. The method of claim 6, wherein the preset plurality of modeling, Signal processing device characterized in that for modeling the characteristics of each noise based on the data on the noise information of at least one of fog, rain, snow, sunlight, lighting. The method of claim 7, wherein the control unit, Calculating respective weighted sums of the information included in the plurality of modelings and the input image information, and selecting a modeling corresponding to a weighted sum having a minimum value among the calculated plurality of weighted sums among the plurality of modelings. Signal processing device characterized in that. A controller which selects a model corresponding to weather information from a plurality of preset modeling and removes a noise component included in the input image information based on characteristics of the selected modeling; And And a display unit for outputting image information from which the noise component has been removed. The method of claim 9, wherein the preset plurality of modeling, Signal processing device characterized in that for modeling the characteristics of each noise based on the data on the noise information of at least one of fog, rain, snow, sunlight, lighting.

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