CN204463227U - A kind of image filtering processor accelerator - Google Patents
A kind of image filtering processor accelerator Download PDFInfo
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- CN204463227U CN204463227U CN201520192682.0U CN201520192682U CN204463227U CN 204463227 U CN204463227 U CN 204463227U CN 201520192682 U CN201520192682 U CN 201520192682U CN 204463227 U CN204463227 U CN 204463227U
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Abstract
The utility model relates to image processing equipment field, provide a kind of image filtering processor accelerator, comprise gradation of image detection module, data processing module, data transmission module and graphics transport module, described gradation of image detection module is connected with the input port of data processing module, and described data transmission module and graphics transport module are all connected with the delivery outlet of data processing module.By detecting and the gray-scale value of each pixel of record object picture and coordinate figure, calculate normal intensity value ranges, and compare with the actual grey value of pixel, find out the pixel of actual grey value exception and record the coordinate of this pixel, again by these coordinates transmission to filter processing, target image is transferred to filter processing simultaneously, filter processing is according to the coordinate received, directly the pixel of gray-scale value exception is processed, and computing and process need not be carried out to each pixel, save the processing time, improve image filtering treatment effeciency.
Description
Technical field
The utility model relates to image processing equipment field, especially a kind of image filtering processor accelerator.
Background technology
Due to the imperfection of imaging system, transmission medium and recording unit etc., digital picture is often subject to the pollution of multiple noise in its formation, transmission log process.In addition, also not as during anticipation also can in result images noise be introduced when what input as object in some link of image procossing.These noises often show as isolated pixel point or the pixel block that causes stronger visual effect on image.Generally, noise signal uncorrelated with the object that will study it occur with useless message form, upset the observable information of image.For data image signal, psophometer is either large or small extreme value, and these extreme values act on the true gray-scale value of image pixel by plus-minus, causes bright, dim spot interference at image, greatly reduce picture quality, affect the carrying out of the follow-up work such as image restoration, segmentation, feature extraction, identification.
In order to eliminate above-mentioned noise, namely filtering process is carried out to image, method conventional at present has medium filtering, mean filter and morphologic filtering, these filtering modes are all carry out comprehensive calculation process to all pixels of target image, and most pixel does not receive pollution, do not need to carry out filtering process, therefore, conventional images wave filter has done a lot of idle work, the processing speed of effect diagram picture and efficiency.
Utility model content
Technical problem to be solved in the utility model is to provide a kind of image filtering processor accelerator improving image filtering treatment effeciency.
The utility model solves the technical scheme that its technical matters adopts: a kind of image filtering processor accelerator, comprise gradation of image detection module, data processing module, data transmission module and image transmission module, described gradation of image detection module is connected with the input port of data processing module, and described data transmission module and image transmission module are all connected with the delivery outlet of data processing module;
Described gradation of image detection module for detecting the gray-scale value of all pixels of target image, record each pixel coordinate and and the gray-scale value of correspondence, and the coordinate of each pixel and gray-scale value are transferred to data processing module;
Described data processing module, for contrasting the gray-scale value of each pixel, determines normal intensity value ranges, and record gray-scale value exceeds the coordinate of the pixel of normal range;
Described data transmission module is used for the coordinates transmission of pixel gray-scale value being exceeded normal range to pictures subsequent treating apparatus;
Described image transmission module is used for Target Photo to be transferred to pictures subsequent treating apparatus.
Further, described gradation of image detection module comprises centering unit and detecting unit, described centering unit is used for the central point of lock onto target image, and described detecting unit, using central point as detection starting point and true origin, detects and records gray-scale value and the coordinate of each pixel.
Further, described detecting unit is four, detects simultaneously and record gray-scale value and the coordinate of the pixel in four quadrants.
Further, be provided with the lossless compression modules be connected with image transmission module, described lossless compression modules is used for image being carried out Lossless Compression and being transmitted by image transmission module.
Further, described data processing module is provided with data storage cell and Data Comparison unit, described data storage cell is for storing gray-scale value and the coordinate of all pixels of last target image, described Data Comparison unit for contrasting the gray-scale value of the current target image pixel identical with last target image coordinate and calculating gray-scale value difference, to judge whether the pixel that current target image is positioned at corresponding coordinate is subject to noise pollution.
The beneficial effects of the utility model are: by detecting and the gray-scale value of each pixel of record object picture and coordinate figure, analyzed by data processing module, calculate normal intensity value ranges in certain coordinates regional, and therewith in scope the actual grey value of pixel compare, find out the excessive or too small pixel of actual grey value and record the coordinate of this pixel, again by the coordinates transmission of the pixel of gray-scale value exception to filter processing, target image is transferred to filter processing simultaneously, filter processing is according to the coordinate received, directly the pixel of gray-scale value exception is processed, and computing and process need not be carried out to each pixel, save the processing time widely, improve image filtering treatment effeciency.
Accompanying drawing explanation
Fig. 1 is the principle schematic of the utility model image filtering processor accelerator.
Embodiment
Below in conjunction with drawings and Examples, the utility model is further illustrated.
As shown in Figure 1, a kind of image filtering processor accelerator of the present utility model, comprise gradation of image detection module 1, data processing module 2, data transmission module 4 and image transmission module 3, described gradation of image detection module 1 is connected with the input port of data processing module 2, and described data transmission module 4 and image transmission module 3 are all connected with the delivery outlet of data processing module 2;
Described gradation of image detection module 1 for detecting the gray-scale value of all pixels of target image, record each pixel coordinate and and the gray-scale value of correspondence, and the coordinate of each pixel and gray-scale value are transferred to data processing module 2;
Described data processing module 2, for contrasting the gray-scale value of each pixel, determines normal intensity value ranges, and record gray-scale value exceeds the coordinate of the pixel of normal range;
Described data transmission module 4 is for exceeding the coordinates transmission of the pixel of normal range to pictures subsequent treating apparatus by gray-scale value;
Described image transmission module 3 is for being transferred to pictures subsequent treating apparatus by Target Photo.
Utilize gray-scale value and the coordinate figure of gradation of image detection module 1 detection and each pixel of record object picture, analyzed by data processing module 2 again, data processing module 2 sets up three-dimensional system of coordinate, using x coordinate and y coordinate as the coordinate of each pixel detected, using z coordinate as the gray-scale value of pixel, Discrete Surfaces is formed by the gray-scale value of all pixels, select according to the smoothness of curved surface and record the coordinate of the larger or less pixel of z coordinate value, again by the coordinates transmission of the pixel of gray-scale value exception to pictures subsequent treating apparatus, target image is transferred to pictures subsequent treating apparatus simultaneously, pictures subsequent treating apparatus and filter processing, filter processing is according to the coordinate received, directly the pixel of gray-scale value exception is processed, and computing and process need not be carried out to each pixel, save the processing time widely, improve image filtering treatment effeciency.
Described gradation of image detection module 1 comprises centering unit 11 and detecting unit 12, described centering unit 11 is for the central point of lock onto target image, described detecting unit 12, using central point as detection starting point and true origin, detects and records gray-scale value and the coordinate of each pixel.Take picture centre as true origin, image is divided into four quadrants, be convenient to detect in an orderly manner pixel.
Described detecting unit 12 is four, detects simultaneously and record gray-scale value and the coordinate of the pixel in four quadrants.Complete the gray-scale value of the pixel in four quadrants respectively by four detecting units 12 and coordinate figure detects and record, is shortened to original 1/4th detection time, accelerate detection speed, improve detection efficiency.
Be provided with the lossless compression modules 5 be connected with image transmission module 3, described lossless compression modules 5 is for carrying out Lossless Compression by image and being transmitted by image transmission module 3.Image is carried out Lossless Compression and is transferred to image filtering processor more later, prevent in the process of transmission, image is subject to quadratic noise and pollutes, thus affects the effect of filtering.
Described data processing module 2 is provided with data storage cell 21 and Data Comparison unit 22, described data storage cell 21 is for storing gray-scale value and the coordinate of all pixels of last target image, described Data Comparison unit 22 for contrasting the gray-scale value of the current target image pixel identical with last target image coordinate and calculating gray-scale value difference, to judge whether the pixel that current target image is positioned at corresponding coordinate is subject to noise pollution.For multiple images of shooting continuously, because shooting environmental, equipment and transmission environment are same or similar, the noise pollution that adjacent two images are subject to may be consistent or similar.The gray-scale value difference of the pixel of same coordinate is positioned at by contrasting adjacent two images, can judge that whether the noise pollution that the two is subject to is similar or consistent, if the two noise pollution be subject to is similar or consistent, then present image needs to carry out the pixel position consistency that the pixel position of filtering process and last image need to carry out filtering process, last image directly needs the pixel coordinate carrying out filtering process to need the coordinate of the pixel carrying out filtering process as present image by data processing module 2, send to image filtering processor again, a large amount of data processing times can be saved, improve image processing efficiency.
Claims (5)
1. an image filtering processor accelerator, it is characterized in that: comprise gradation of image detection module, data processing module, data transmission module and image transmission module, described gradation of image detection module is connected with the input port of data processing module, and described data transmission module and image transmission module are all connected with the delivery outlet of data processing module;
Described gradation of image detection module for detecting the gray-scale value of all pixels of target image, record each pixel coordinate and and the gray-scale value of correspondence, and the coordinate of each pixel and gray-scale value are transferred to data processing module;
Described data processing module, for contrasting the gray-scale value of each pixel, determines normal intensity value ranges, and record gray-scale value exceeds the coordinate of the pixel of normal range;
Described data transmission module is used for the coordinates transmission of pixel gray-scale value being exceeded normal range to pictures subsequent treating apparatus;
Described image transmission module is used for Target Photo to be transferred to pictures subsequent treating apparatus.
2. a kind of image filtering processor accelerator as claimed in claim 1, it is characterized in that: described gradation of image detection module comprises centering unit and detecting unit, described centering unit is used for the central point of lock onto target image, described detecting unit, using central point as detection starting point and true origin, detects and records gray-scale value and the coordinate of each pixel.
3. a kind of image filtering processor accelerator as claimed in claim 2, is characterized in that: described detecting unit is four, detects simultaneously and record gray-scale value and the coordinate of the pixel in four quadrants.
4. a kind of image filtering processor accelerator as claimed in claim 1, is characterized in that: be provided with the lossless compression modules be connected with image transmission module, and described lossless compression modules is used for image being carried out Lossless Compression and being transmitted by image transmission module.
5. a kind of image filtering processor accelerator as claimed in claim 1, it is characterized in that: described data processing module is provided with data storage cell and Data Comparison unit, described data storage cell is for storing gray-scale value and the coordinate of all pixels of last target image, described Data Comparison unit for contrasting the gray-scale value of the current target image pixel identical with last target image coordinate and calculating gray-scale value difference, to judge whether the pixel that current target image is positioned at corresponding coordinate is subject to noise pollution.
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| CN201520192682.0U CN204463227U (en) | 2015-04-01 | 2015-04-01 | A kind of image filtering processor accelerator |
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| CN201520192682.0U CN204463227U (en) | 2015-04-01 | 2015-04-01 | A kind of image filtering processor accelerator |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108093182A (en) * | 2018-01-26 | 2018-05-29 | 广东欧珀移动通信有限公司 | Image processing method and device, electronic equipment, computer readable storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108093182A (en) * | 2018-01-26 | 2018-05-29 | 广东欧珀移动通信有限公司 | Image processing method and device, electronic equipment, computer readable storage medium |
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Granted publication date: 20150708 Termination date: 20160401 |