CN215121012U

CN215121012U - Signal processing system

Info

Publication number: CN215121012U
Application number: CN202023335659.2U
Authority: CN
Inventors: 邸文华; 张焱; 林铭
Original assignee: Beijing Dushi Technology Co ltd
Current assignee: Beijing Dushi Technology Co ltd
Priority date: 2020-12-31
Filing date: 2020-12-31
Publication date: 2021-12-10
Anticipated expiration: 2030-12-31

Abstract

The application discloses signal processing system includes: the signal conversion device comprises a signal converter and a serializer, the signal processing device comprises a deserializer and an image processor, and the signal converter is configured to convert an HDMI signal received by the signal conversion device into an MIPI or LVDS signal and send the MIPI or LVDS signal to the serializer; the serializer is configured to convert the MIPI or LVDS signals sent by the signal converter into serial signals and transmit the serial signals to the deserializer through a serial transmission cable; the deserializer is configured to receive the serial signal, deserialize the serial signal, and transmit the MIPI or LVDS signal obtained by the deserialization to the image processor; and the image processor is configured to process the MIPI or LVDS signal received from the deserializer.

Description

Signal processing system

Technical Field

The present application relates to the field of signal processing, and more particularly, to a signal processing system

Background

A High Definition Multimedia Interface (HDMI) is a fully digital video and audio transmission Interface, and can transmit uncompressed audio and video signals. The HDMI can be used for set-top boxes, DVD players, personal computers, televisions, game hosts, comprehensive amplifiers, digital stereos, televisions and other equipment. HDMI can send audio frequency and video signal simultaneously, because audio frequency and video signal adopt same wire rod, simplifies the installation degree of difficulty of system's circuit greatly. However, most of the HDMI collectors in the prior art use the USB interface to receive HDMI data. Because the USB interface version is complex and the bandwidth rate is not compatible, for example, the bandwidth of USB1.1 is only 12Mbps, and the bandwidth of USB3.0 is 5Gbps, most of the HDMI data can only be transmitted without compressed data by using the USB3.0 interface after being converted, and cannot be compatible with USB1.1, and the converter converting HDMI to USB may cause a serious delay problem, especially when HDMI is converted to USB2.0, the delay time may reach more than 2 seconds. The device with the HDMI to MIPI or LVDS interface is difficult to realize long-distance transmission due to the problem of long MIPI or LVDS wires.

In view of the above-mentioned technical problem that the prior art lacks a high-speed signal processing system capable of converting an HDMI signal into an MIPI or LVDS signal and transmitting the signal in a long distance and with low delay, no effective solution has been proposed at present.

SUMMERY OF THE UTILITY MODEL

The present disclosure provides a signal processing system to at least solve the technical problem of the prior art that a signal processing system capable of converting an HDMI signal into an MIPI or LVDS signal and transmitting the signal over a long distance is absent.

According to an aspect of the present application, there is provided a signal processing system including: the signal conversion device comprises a signal converter and a serializer, the signal processing device comprises a deserializer and an image processor, and the signal converter is configured to convert an HDMI signal received by the signal conversion device into an MIPI or LVDS signal and send the MIPI or LVDS signal to the serializer; the serializer is configured to convert the MIPI or LVDS signals sent by the signal converter into serial signals and transmit the serial signals to the deserializer through a serial transmission cable; the deserializer is configured to receive the serial signal, deserialize the serial signal, and transmit the MIPI or LVDS signal obtained by the deserialization to the image processor; and the image processor is configured to process the MIPI or LVDS signal received from the deserializer.

Optionally, the signal conversion apparatus further comprises an HDMI input interface connected to the signal converter, the HDMI input interface configured to receive an HDMI signal from the first external apparatus and send the received HDMI signal to the signal converter.

Optionally, the image processor includes a first input interface and an image processing module, where the first input interface is configured to receive an MIPI or LVDS signal from the deserializer, obtain a first original image, and send the first original image to the image processing module; and the image processing module is configured to process the first raw image received from the first input interface.

Optionally, the image processor further includes a second input interface, and the second input interface is configured to receive the MIPI or LVDS signal from a second external device, obtain a second original image, and send the second original image to the image processing module.

Alternatively, the signal conversion device includes a plurality of HDMI input interfaces, a plurality of signal converters respectively corresponding to the plurality of HDMI input interfaces, and a plurality of serializers respectively corresponding to the plurality of signal converters, and the signal processing device includes a plurality of deserializers respectively corresponding to the plurality of serializers; and the image processor comprises a plurality of first input interfaces respectively corresponding to the deserializers.

Optionally, the image processing module includes a preprocessing unit and an artificial intelligence processing unit, wherein the preprocessing unit is configured to generate a target image suitable for detection by the artificial intelligence processing unit according to the first original image received from the first input interface; and the artificial intelligence processing unit is configured to detect a target object in the target image.

Optionally, the pre-processing unit comprises at least one sub-unit of: an image conversion sub-unit and an image enhancement sub-unit, wherein the image conversion sub-unit is configured to perform an upsampling or downsampling operation on the first original image, thereby generating a target image; and the image enhancement unit is configured to perform image enhancement operation on the first original image according to a preset algorithm so as to generate a target image.

Optionally, the image processing module further includes a temperature detection unit, where the temperature detection unit includes a positioning subunit and a temperature detection subunit, where the positioning subunit is configured to determine, according to first position information of the target object in the target image, second position information of the target object in the first original image; and the temperature detection subunit is configured to determine temperature distribution information corresponding to the target object according to the pixel information corresponding to the second position information in the first original image.

Optionally, the image processing module further includes an image fusion unit, and the image fusion unit is configured to add a mark at a position of the target object in the target image according to the first position information and the temperature distribution information, and buffer the target object temperature of the target object, the target object position, and relevant data of the image to be displayed while generating the image to be displayed.

Optionally, the image processing module 222 further includes an image fusion unit configured to perform splicing, fusion and/or superposition processing on the multiple MIPI or LVDS signals received from the multiple first input interfaces to generate a spliced image, a fused image and/or a superposed image.

The embodiment of the utility model provides an in, signal processing system can with the external equipment (for example, image equipment such as computer, single opposition machine) communication connection who adopts the HDMI interface, after external equipment received the HDMI signal, signal processing system at first converts received HDMI signal into MIPI or LVDS signal through the signal converter in the signal conversion equipment to MIPI or LVDS signal transmission that will convert and obtain sends the serializer that is connected with it, effectively avoided converting the HDMI signal into the protocol compatibility problem that the USB signal leads to. In the application scenario, the serializer converts the received MIPI or LVDS signal into a serial signal, transmits the serial signal to the deserializer in the signal processing device through the serial transmission cable, deserializes the received serial signal by the deserializer, and transmits the MIPI or LVDS signal obtained by the deserializing to the image processor. Therefore, the signal processing system provided by the embodiment can convert the HDMI signal into the MIPI or LVDS signal through the signal converter, and effectively avoids the problem of protocol compatibility caused by converting the HDMI signal into the USB signal. And the long-distance transmission of MIPI or LVDS signals can be realized through the serializer, the serial transmission cable and the deserializer. Thereby the utility model provides a can be with HDMI signal conversion MIPI or LVDS signal and fast-speed signal processing system that can remote transmission. And then the technical problem that a high-speed signal processing system which can convert the HDMI signals into MIPI or LVDS signals and can transmit the signals in a long distance is lacked in the prior art is solved.

The above and other objects, advantages and features of the present application will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.

Drawings

Some specific embodiments of the present application will be described in detail hereinafter by way of illustration and not limitation with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:

FIG. 1 is a schematic diagram of a signal processing system according to one embodiment of the present application;

FIG. 2 is a schematic diagram of a signal processing system having a multi-way HDMI input interface; and

fig. 3 is a schematic diagram of the image processing module of fig. 1.

Detailed Description

It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

In order to make the technical solutions of the present disclosure better understood by those skilled in the art, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only some embodiments of the present disclosure, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.

It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances for describing the embodiments of the disclosure herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.

Referring to fig. 1, the present embodiment provides a signal processing system. The signal processing system provided by the embodiment comprises: the signal conversion device 10 includes a signal converter 110 and a serializer 120, the signal processing device 20 includes a deserializer 210 and an image processor 220, wherein the signal converter 110 is configured to convert an HDMI signal received by the signal conversion device 10 into a MIPI or LVDS signal and transmit the MIPI or LVDS signal to the serializer 120; the serializer 120 is configured to convert the MIPI or LVDS signal transmitted by the signal converter 110 into a serial signal and transmit the serial signal to the deserializer 210 through a serial transmission cable; the deserializer 210 is configured to receive the serial signal, deserialize the serial signal, and transmit the MIPI or LVDS signal obtained by the deserialization to the image processor 220; and the image processor 220 is configured to process the MIPI or LVDS signal received from the deserializer 210.

As described in the background art, most of the current HDMI collectors utilize USB interfaces to receive HDMI data, the versions of the USB interfaces are complex, and the bandwidth and the rate are incompatible, and devices that convert HDMI into MIPI or LVDS interface are difficult to implement long-distance transmission due to the problem of long MIPI or LVDS wires.

To solve the technical problem, the present invention provides a signal processing system including a signal conversion apparatus 10 and a signal processing apparatus 20. Also, by providing the signal converter 110 and the serializer 120 in the signal conversion apparatus 10, wherein the signal converter 110 is a signal conversion circuit capable of converting the HDMI signal into the MIPI or LVDS signal, the serializer 120 may be a GMSL serializer. By providing the deserializer 210 and the image processor 220 corresponding to the serializer 120 at the signal processing device 20, and the serializer 120 and the deserializer 310 are connected by a serial transmission cable, wherein the deserializer 210 may be a GMSL deserializer, and the serial transmission cable may be a Shielded Twisted Pair (STP) or a coaxial Cable (CON).

Further, the signal processing system may be in communication connection with an external device (e.g., a computer, an image device such as a single lens reflex camera, etc.) using an HDMI interface, and after receiving the HDMI signal from the external device, the signal processing system first converts the received HDMI signal into an MIPI or LVDS signal through the signal converter 110 in the signal conversion device 10, and sends the converted MIPI or LVDS signal to the serializer 120 connected thereto, thereby effectively avoiding a problem of protocol compatibility caused by converting the HDMI signal into a USB signal. In this application scenario, the serializer 120 converts the received MIPI or LVDS signal into a serial signal, transmits the serial signal to the deserializer 210 in the signal processing device 20 through a serial transmission cable, deserializes the received serial signal by the deserializer 210, and transmits the MIPI or LVDS signal obtained by the deserializing to the image processor 220.

Therefore, the signal processing system provided by the embodiment can not only convert the HDMI signal into the MIPI or LVDS signal through the signal converter 110, but also effectively avoid the problem of protocol compatibility caused by converting the HDMI signal into the USB signal. And also enables long-distance transmission of MIPI or LVDS signals through the serializer 120, the serial transmission cable, and the deserializer 210 together. Thereby the utility model provides a can be with HDMI signal conversion MIPI or LVDS signal and fast-speed signal processing system that can remote transmission. And then the technical problem that a high-speed signal processing system which can convert the HDMI signals into MIPI or LVDS signals and can transmit the signals in a long distance is lacked in the prior art is solved.

Optionally, the signal conversion apparatus 10 further includes an HDMI input interface 130 connected to the signal converter 110, wherein the HDMI input interface 130 is configured to receive an HDMI signal from a first external device (e.g., a computer, a single lens reflex camera, etc.), and send the received HDMI signal to the signal converter 110. The HDMI signal is directly received through the HDMI input interface 130, so that the problem that most of the existing HDMI signals can only be received through the USB3.0 interface after data acquisition and cannot be compatible with the USB1.1 is effectively solved.

Optionally, the image processor 220 includes a first input interface 221 and an image processing module 222, where the first input interface 221 is configured to receive the MIPI or LVDS signal from the deserializer 210, obtain a first original image, and send the first original image to the image processing module 222; and the image processing module 222 is configured to process the first raw image received from the first input interface 221. The image processor 220 includes a first input interface 221 and an image processing module 222, which can ensure that the MIPI or LVDS signal is directly sent to the image processing module 222, and at the same time, ensure that the image processor 222 obtains an original image without compression, thereby facilitating subsequent image processing.

Optionally, the image processor 220 further includes a second input interface 223 (e.g. a camera with a MIPI or LVDS input interface), and the second input interface 223 is configured to receive a MIPI or LVDS signal from a second external device, obtain a second original image, and send the second original image to the image processing module 222. The signal processing system provided in this embodiment may also directly input the MIPI or LVDS signal from the second input interface 223 of the image processor 220, so that the user may input the HDMI signal into the signal processing system, or directly input the MIPI or LVDS signal into the signal processing system.

Alternatively, the signal conversion apparatus 10 includes a plurality of HDMI input interfaces 130a, 130b, 130c, a plurality of signal converters 110a, 110b, 110c corresponding to the plurality of HDMI input interfaces 130a, 130b, 130c, respectively, and a plurality of serializers 120a, 120b, 120c corresponding to the plurality of signal converters 110a, 110b, 110c, respectively, and the signal processing apparatus 20 includes a plurality of deserializers 210a, 210b, 210c corresponding to the plurality of serializers 120a, 120b, 120c, respectively; and the image processor 220 includes a plurality of first input interfaces 221a, 221b, 221c corresponding to the plurality of deserializers 210a, 210b, 210c, respectively.

Specifically, in the case where signal processing is required for multiple HDMI signals, the signal processing system can interface multiple external devices that output HDMI signals through the multiple HDMI input interfaces 130a, 130b, 130c, enabling matching between each HDMI input interface and the signal converter, between each serializer and deserializer, and between each deserializer and the first input interface. Further, the plurality of HDMI input interfaces 130a, 130b, 130c can access different types of devices, respectively. For example, the HDMI input interface 130a may be connected to a notebook computer, the HDMI input interface 130b may be connected to a single lens reflex camera, the HDMI input interface 130c may be connected to a Sony camera, and so on.

Optionally, the image processing module 222 includes a preprocessing unit and an artificial intelligence processing unit, wherein the preprocessing unit is configured to generate a target image suitable for detection by the artificial intelligence processing unit according to the first raw image received from the first input interface 221; and the artificial intelligence processing unit is configured to detect a target object in the target image.

Specifically, referring to fig. 3, the image processing module 222 includes a preprocessing unit and an artificial intelligence processing unit. In the case that the resolution of the obtained first original image is not matched with the resolution of the image suitable for detection by the artificial intelligence processing unit, the first original image can be preprocessed by the preprocessing unit, so that the image suitable for detection by the artificial intelligence processing unit is generated. A first target object in the image is then detected by the artificial intelligence processing unit. Therefore, the original image is preprocessed through the preprocessing unit, the artificial intelligence processing unit detects the original image based on the preprocessed image, and the problems that detection omission, false detection, low accuracy, low effective detection rate and the like are easily caused when the image processing module 222 detects the object in the image are effectively avoided.

Optionally, the pre-processing unit comprises at least one sub-unit of: an image conversion subunit and an image enhancement subunit, wherein the image conversion subunit is configured to perform an image conversion operation on the first original image, thereby generating a target image; and the image enhancement unit is configured to perform image enhancement operation on the first original image according to a preset algorithm so as to generate a target image.

In particular, regarding the reason why the target object cannot be effectively detected with respect to the first original image of low resolution, the present application mainly considers two factors. In a first aspect, limited by computational resources, current image detection and recognition algorithms generally support recognition of images with a limited range of resolutions (e.g., 512 × 512, 640 × 360, 640 × 480, or others); the second aspect is that each feature of the target object cannot be presented in detail due to image blurring and unclear outline in the low-resolution first original image. For example, in the case of a human target, the first original image cannot clearly present features such as human body contour, head, and limbs.

Further, in view of the above problems in the first aspect, the preprocessing unit of this embodiment performs up-sampling or down-sampling on the first original image through the image conversion subunit, and converts the resolution of the first original image into a target image suitable for detection by the artificial intelligence processing unit. Wherein the resolution of the first original image is lower than the resolution of the target image. For example: the first raw image received may be a low resolution image with a resolution of 160 x 120-384 x 288, while the target image suitable for detection by the artificial intelligence processing unit may have a resolution of, for example, 512 x 512, 640 x 360, 640 x 480 or others. Therefore, the pre-processing unit may perform upsampling using a polyphase filter or a linear filter, for example, to achieve low-resolution to high-resolution enhancement. Therefore, the model does not need to be retrained based on the acquired images, and the existing artificial intelligence detection function is utilized to effectively detect the low-resolution external images.

Further, in view of the above-mentioned problem of the second aspect, the preprocessing unit of the present embodiment performs an image enhancement operation on the first original image by the image enhancement unit according to a preset algorithm, thereby generating the target image.

In one embodiment, the image enhancer unit performs denoising using a preset denoising filtering algorithm to suppress noise in the image without damaging the edge of the object, aiming at the problem of high noise. Common denoising and filtering algorithms include, for example, a bilateral filtering algorithm and a guided filtering algorithm.

In addition, it should be noted that the image enhancer unit is not limited to include a denoising filter algorithm and an edge sharpening algorithm, and may also include other algorithms that can enhance the image quality.

Preferably, in view of the above problems in the first aspect, the preprocessing unit of this embodiment may further perform an upsampling operation on the target image through the image conversion subunit, so as to complete the improvement from the low resolution to the high resolution. And then, the image enhancement unit carries out image enhancement operation on the high-resolution image output by the image conversion subunit, suppresses noise in the high-resolution image, and enhances detailed information in the high-resolution image at the same time, thereby generating a target image suitable for detection by the artificial intelligence processing unit. The image enhancement unit can perform denoising by using the preset denoising and filtering algorithm to suppress noise in the high-resolution image output by the image conversion subunit, and meanwhile, the edge of the object is not damaged. In addition, the image enhancement unit may also perform edge enhancement using the preset image enhancement algorithm to enhance detail information of an object in the high resolution image output by the image conversion subunit.

Optionally, the image processing module 222 further includes a temperature detection unit, where the temperature detection unit includes a positioning subunit and a temperature detection subunit, where the positioning subunit is configured to determine, according to the first position information of the target object in the target image, second position information of the target object in the first original image; and the temperature detection subunit is configured to determine temperature distribution information corresponding to the target object according to the pixel information corresponding to the second position information in the first original image.

Specifically, as shown in fig. 3, after receiving the low-resolution image from the low-resolution camera, the image processing module 222 generally needs to convert the low-resolution image into a high-resolution image suitable for the existing image detection and recognition algorithm by means of image conversion, image enhancement or a combination of the two, and then perform the target object detection. In this case, a loss of temperature information is caused, so that the temperature distribution information of the target object in the converted high-resolution image is not accurate.

In view of the above problem, the image processing module 222 provided in this embodiment first determines, by the positioning subunit in the temperature detection unit, second position information of the target object in the first original image according to the first position information of the target object in the target image. The positioning subunit may convert, by using a preset coordinate conversion algorithm, the first position information in the target image into corresponding second position information in the first original image. Then, the temperature detecting subunit in the temperature detecting unit obtains the corresponding temperature value according to the pixel information corresponding to the second position information, so as to determine the temperature distribution information corresponding to the target object. In this way, the effect of the temperature distribution information of the target object can be accurately determined. The problem that the temperature distribution information of the target object in the high-resolution image obtained through conversion is inaccurate is solved.

Optionally, the image processing module 222 further includes an image fusion unit configured to add a mark at a position of the target object in the target image according to the first position information and the temperature distribution information, and buffer the target object temperature of the target object, the target object position, and relevant data of the image to be displayed while generating the image to be displayed.

In practice, a monitoring worker monitors a target object, usually by watching a monitoring video. Therefore, if a marker for identifying the target object and the temperature distribution information of the target object (for example, marking the target object with a color rectangular frame, marking the relative face temperature information, forehead temperature information, etc.) can be added to the video, it is more advantageous for the monitoring staff to observe the monitoring video.

In this case, referring to fig. 3, the image processing module 222 further includes an image fusion unit for fusing the first position information detected by the artificial intelligence processing unit and the temperature distribution information determined by the temperature detection unit with the target generated by the preprocessing unit, and adding a mark of the position information and the temperature information at the position of the target object in the target image. For example, a color rectangular frame is added around the target object for marking the detected position of the target object in the thermal infrared image, and specific temperature information may be added to specific parts (e.g., forehead, face, limbs, etc.) of the target object, generating a high-resolution image with a mark of the position information and temperature information of the target object, and caching the target object temperature of the target object, the target object position, and related data of the image. Therefore, by the mode, the monitoring video with high definition and marks can be provided for monitoring workers, and the monitoring workers can monitor the monitoring video conveniently.

Optionally, the image processing module 222 further includes an image fusion unit configured to perform splicing, fusion and/or superposition processing on the multiple MIPI or LVDS signals received from the multiple first input interfaces 221a, 221b and 221c to generate a spliced image, a fused image and/or a superposed image.

Specifically, after the plurality of first input interfaces 221a, 221b, and 221c respectively transmit the plurality of MIPI or LVDS signals to the image processing module 222, the image processing module 222 may splice the received plurality of MIPI or LVDS signals through the image fusion unit, or select several MIPI or LVDS signals among them to splice, so as to generate a spliced image. For example, the image processing module 222 receives 3 paths of MIPI signals from the plurality of first input interfaces 221a, 221b, and 221c to obtain 3 paths of video images, and then the image processing module 222 splices the received 3 paths of video images through the image fusion unit to generate a spliced video image spliced by the 3 paths of video images. In addition, the image fusion unit may also select 2 of the received 3 paths of video images to be spliced, so as to generate a spliced video image spliced by the 2 paths of video images.

Further, the image processing module 222 may also fuse the 2 received video images through the image fusion unit to generate a fused video image fused by the 2 received video images. In addition, the image processing module 222 may further perform an overlay process on the received 3 paths of video images through the image fusion unit, so as to generate an overlay video image in which the 3 paths of video images are overlaid together.

In this embodiment, the operation of splicing the image fusion unit is described by taking the example of receiving 3 MIPI signals from the plurality of first input interfaces 221a, 221b, and 221c as an example, but the number of interfaces of the first input interfaces and the number of received MIPI signals are not limited.

The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.

Spatially relative terms, such as "above … …," "above … …," "above … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial relationship to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is turned over, devices described as "above" or "on" other devices or configurations would then be oriented "below" or "under" the other devices or configurations. Thus, the exemplary term "above … …" can include both an orientation of "above … …" and "below … …". The device may be otherwise variously oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.

In the description of the present disclosure, it is to be understood that the orientation or positional relationship indicated by the directional terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal" and "top, bottom", etc., are generally based on the orientation or positional relationship shown in the drawings, and are presented only for the convenience of describing and simplifying the disclosure, and in the absence of a contrary indication, these directional terms are not intended to indicate and imply that the device or element being referred to must have a particular orientation or be constructed and operated in a particular orientation, and therefore, should not be taken as limiting the scope of the disclosure; the terms "inner and outer" refer to the inner and outer relative to the profile of the respective component itself.

The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A signal processing system, comprising: a signal conversion device (10) and a signal processing device (20), the signal conversion device (10) comprising a signal converter (110) and a serializer (120), the signal processing device (20) comprising a deserializer (210) and an image processor (220), wherein

The signal converter (110) is configured to convert an HDMI signal received by the signal conversion device (10) into a MIPI or LVDS signal and transmit the MIPI or LVDS signal to the serializer (120);

the serializer (120) is configured to convert the MIPI or LVDS signal transmitted by the signal converter (110) into a serial signal and transmit the serial signal to the deserializer (210) through a serial transmission cable;

the deserializer (210) is configured to receive the serial signal, deserialize the serial signal, and transmit the deserialized MIPI or LVDS signal to the image processor (220); and

the image processor (220) is configured to process MIPI or LVDS signals received from the deserializer (210).

2. The signal processing system according to claim 1, wherein the signal conversion device (10) further comprises an HDMI input interface (130) connected to the signal converter (110), the HDMI input interface (130) being configured to receive an HDMI signal from a first external device and to send the received HDMI signal to the signal converter (110).

3. The signal processing system according to claim 2, wherein the image processor (220) comprises a first input interface (221) and an image processing module (222), wherein

The first input interface (221) is configured to receive a MIPI or LVDS signal from the deserializer (210), obtain a first raw image, and send the first raw image to the image processing module (222); and

the image processing module (222) is configured to process a first raw image received from the first input interface (221).

4. The signal processing system of claim 3, wherein the image processor (220) further comprises a second input interface (223), the second input interface (223) being configured to receive MIPI or LVDS signals from a second external device, to obtain a second raw image, and to send the second raw image to the image processing module (222).

5. The signal processing system according to claim 3, wherein the signal conversion apparatus (10) includes a plurality of HDMI input interfaces (130a, 130b, 130c), a plurality of signal converters (110a, 110b, 110c) respectively corresponding to the plurality of HDMI input interfaces (130a, 130b, 130c), and a plurality of serializers (120a, 120b, 120c) respectively corresponding to the plurality of signal converters (110a, 110b, 110c), and wherein

The signal processing device (20) includes a plurality of deserializers (210a, 210b, 210c) corresponding to the plurality of serializers (120a, 120b, 120c), respectively; and

the image processor (220) includes a plurality of first input interfaces (221a, 221b, 221c) corresponding to the plurality of deserializers (210a, 210b, 210c), respectively.

6. The signal processing system according to claim 5, wherein the image processing module (222) further comprises an image fusion unit configured to perform stitching, fusion and/or superposition processing on the multiple MIPI or LVDS signals received from the multiple first input interfaces (221a, 221b, 221c) to generate a stitched image, a fused image and/or a superposed image.