Compress 1 0 1 – Image Compression Valve
A kind of camera review Fast Compression method Download PDF

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The ApolloPEX 1/2 in. Chrome-Plated Brass The ApolloPEX 1/2 in. Chrome-Plated Brass PEX Barb x 1/4 in. Compression Quarter-Turn Angle Stop Valve is simple to install and provides flow control through a quarter-turn ball valve. Most commonly used at point of use fixtures, it allows for repair and maintenance of fixtures without the need to shut.
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CN107465879A
CN107465879ACN201710877306.9ACN201710877306ACN107465879ACN 107465879 ACN107465879 ACN 107465879ACN 201710877306 ACN201710877306 ACN 201710877306ACN 107465879 ACN107465879 ACN 107465879A
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image
images
Chinese (zh)
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NIKON D800 + 80-400mm f/4.0 @ 200mm, ISO 100, 1/320, f/5.6. This final image is taken at 300mm. The planters were about 10m apart in reality, but look how close together they appear now. NIKON D800 + 80-400mm f/4.0 @ 300mm, ISO 100, 1/320, f/5.6. Compression is actually due to the distance between the camera and the subject. By default, we compress JPEG images using a combination of lossy & progressive compression while reducing chroma sampling to 4:2:0. Our goal is to reduce JPEG file size at the highest possible image quality. This tool also follows the image compression guidelines set by Google. Why should I compress JPEG files?
Compress JPEG images and photos for displaying on web pages, sharing on social networks or sending by email. Select up to 20.jpg or.jpeg images from you device. Or drag files to the drop area. Compress PNG with the best quality and compression. Reduce the filesize of. Upload from computer. Or drop images here. Compress images. All images will be compressed with the best quality and filesize ratio. Getting files from Drive. Getting files from Dropbox. Uploading file 0 of 0. Time left - seconds - Upload speed - MB/S.
成都精益技术检测服务有限公司
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  • titleabstract239000011159matrix materialsSubstances0.000abstract238000000034methodsMethods0.000abstract230000001360synchronisedEffects0.000abstract230000000875correspondingEffects0.000abstract238000003384imaging methodMethods0.000description10
  • claims238000006011modification reactionsMethods0.000description4
  • claims1
  • claims1
  • description5
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Classifications

    • H--ELECTRICITY
  • H04N--PICTORIAL COMMUNICATION, e.g. TELEVISION
  • H04N5/222--Studio circuitry; Studio devices; Studio equipment ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
  • H04N5/232--Devices for controlling television cameras, e.g. remote control ; Control of cameras comprising an electronic image sensor
  • H04N5/23235--Devices for controlling television cameras, e.g. remote control ; Control of cameras comprising an electronic image sensor comprising further processing of the captured image without influencing the image pickup process by using a single image in order to influence the resolution
    • H--ELECTRICITY
  • H04N--PICTORIAL COMMUNICATION, e.g. TELEVISION
  • H04N19/10--Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
  • H04N19/103--Selection of coding mode or of prediction mode
  • H04--ELECTRIC COMMUNICATION TECHNIQUE
  • H04N19/00--Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
  • H04N19/134--Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
  • H04N19/16--Assigned coding mode, i.e. the coding mode being predefined or preselected to be further used for selection of another element or parameter for a given display mode, e.g. for interlaced or progressive display mode
    • H--ELECTRICITY
  • H04N--PICTORIAL COMMUNICATION, e.g. TELEVISION
  • H04N19/10--Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
  • H04N19/182--Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a pixel
    • H--ELECTRICITY
  • H04N--PICTORIAL COMMUNICATION, e.g. TELEVISION
  • H04N19/42--Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
  • Technical field

    It is special the invention mainly relates to digital imaging technology field, especially industrial vision image compression technique areaRefer to a kind of camera review Fast Compression method.

    Background technology

Visual imaging technology be widely used it is military, industrial, civilian, consumption etc. numerous areas.With digital imaging technologyFast development, imaging sensor imaging resolution is increasing, image frame per second more and more higher, magnanimity is produced in imaging processPicture signal, carry out immense pressure to IMAQ and storage tape.View data is high redundancy, can be pressed which dictates that it hasContracting.Therefore, by compression of images, image data amount can be greatly reduced under the premise of certain information content is ensured, in favor of figureAs storage and transmission.

At present, in consumer electronics field, more using MPEG, H.264, H.265 etc. compressed format is pressed imageContracting.In industrial vision field, because image resolution ratio is high, frame per second is high, above-mentioned method for compressing image is difficult to meet Real Time CompressionApplication demand.Although existing scholar is combined using FPGA or multiple DSP, the industry based on JPEG is realized in a parallel fashion and is taken the photographCamera compression of images, still, the complexity of jpeg image compression algorithm are high, the ability of compression of images, depend critically upon processorThe performance of (FPGA and DSP).Therefore, this compression of images mode, it is impossible to adapt to higher resolution, the compression of images of higher frame per secondTask, and the prominent questions such as hardware cost height, power consumption height be present.

Therefore, there is an urgent need to a kind of low cost, the Fast image compression of low complex degree.

The content of the invention

The technical problem to be solved in the present invention is：Conventional images compression method, computation complexity height be present, it is difficult to meetHigh-resolution, high frame rate image Real Time Compression demand.

To solve the above problems, the present invention discloses a kind of camera review Fast Compression method, it is characterised in that：ImagingIn machine image acquisition process, partial pixel is directly abandoned, to realize image Fast Compression.

Concrete methods of realizing is：A compression of images mark matrix F is stored in video camera, F dimension is w*h, wherein,W, h is respectively the width and height for gathering image, and w, h span are that element value is 0 or 1 in 1~100000, F；Taking the photographIn camera image acquisition process, the field sync signal V, line synchronising signal H, the pixel clock C that are exported according to imaging sensor, calculateCurrent pixel P coordinate (i, j) in the picture, according to image coordinate (i, j), take out correspondence position in compression of images mark matrix FLocate element F (i, j), as F (i, j)=0, abandon current pixel P, as F (i, j)=1, retain current pixel P；In image pressureIn compression process, after a line compression of images is completed, new a line image is sequentially arranged into retaining pixel in the row, willThe row that new a line image is used to store or transmit or generated newly according to row reservation pixel quantity as a packet is synchronousSignal H'.

Preferably, element F (i, j) value is random in compression of images mark matrix F.

Preferably, element F (i, j) meets bi-distribution in compression of images mark matrix F：

F (i, j)=b (r) (1)

Wherein, b is Binomial Distributing Function, and r is the probability that Binomial Distributing Function output valve is equal to 1, r spans are 0~1；Image compression ratio is equal with bi-distribution b () input parameter r, and image compression ratio is adjusted by adjusting r.

Make all row vector F in compression of images mark matrix F (i,:) interior element sum S (i) is equal, to ensure every a lineIt is equal to compress pixel quantity in image, wherein, F (i,:) it is the vector that all elements are formed in the rows of F i-th, i span is 1~h.

When h S (i) is unequal in the compression of images mark matrix F of bi-distribution generation, the average M of h S (i) is taken,And M' is obtained to M round numbers；Manual modification compression of images mark matrix F in row vector F (i,:) interior element, make all S (i) in F=M'；During repairing changes, the element of modification be dispersed evenly to row vector F (i,:) in.

Present invention has the advantages that：With prior art image pressure is carried out in image frequency domain (such as JPEG, H.264, H.265)The algorithm principle of contracting is different, and the inventive method directly performs pixel and abandon or retain behaviour directly in image acquisition processMake, realize compression of images.Directly pixel abandon operating and realize that the advantages of compressing is：It can be realized by hardware such as FPGAWith pixel clock synchronous compression, processing time is only 1 pixel clock, with the existing frequency domain method for compressing image based on image blockCompare, complexity is lower.Benefit caused by the method for compressing image of this single pixel clock is：Cost is low, low in energy consumption, as long asImage device can be imaged, you can realize the compression of images of arbitrary resolution, arbitrary frame-rate.Therefore, the inventive method, not only may be usedFor industrial camera, high-speed camera can be also used for.In addition, for avoid compress image in storage or transmitting procedure becausePixel puts in order the problem of destroyed after loss of data causes compression, and in image compression process, the present invention is not with view pictureCompression image is packet, but compresses image as packet using a line in image compression process, for storing or transmitting, soHave the advantage that：By the way that entire image is divided into h packet, in packet storage or transmitting procedure, when somePacket is lost in transmitting procedure, nor affects on the reconstruction of entire image.So as to lifted compression of images and rear end decompressionRobustness.

Brief description of the drawings

Fig. 1 compression of images operation principles of the present invention

Wherein, Fig. 1 (a) is input picture, and Fig. 1 (b) is compression of images mark matrix, and Fig. 1 (c) is that pixel abandons result,Fig. 1 (d) is compression image, and Fig. 1 (e) is original pixels, and Fig. 1 (f) is to abandon pixel；

Fig. 2 compresses image reconstruction principle

Wherein, Fig. 2 (a) is compression image, and Fig. 2 (b) is compression of images mark matrix, and Fig. 2 (c) is compression image rearrangement sequenceAs a result, Fig. 2 (d) is compression image reconstruction result, and Fig. 2 (e) is known pixels in compression image, and Fig. 2 (f) is to compress in image notKnow pixel, Fig. 2 (g) is compression image reconstruction pixel；

Fig. 3 image pixels abandon and repairing effect example

Wherein, Fig. 3 (a) input pictures, Fig. 3 (b) abandon pixel image, and Fig. 3 (c) repairs image, for ease of display, Fig. 3(b) pixel is abandoned in and is set to 0.

Fig. 4 compression of images of the present invention and reconstructed results example

Wherein, Fig. 4 (a) input pictures, the compression ratio images of Fig. 4 (b) 99%, the compression ratio images of Fig. 4 (c) 95%, Fig. 4 (d)90% compression image, the compression ratio image reconstruction results of Fig. 4 (e) 99%, the compression ratio image reconstruction results of Fig. 4 (f) 95%, Fig. 4 (g)90% compression ratio image reconstruction result, for ease of display, compress and pixel is abandoned in image with 0 replacement.

Embodiment

In order that the purpose of the present invention, technical scheme and beneficial effect are more clearly understood, below in conjunction with the accompanying drawings and implementExample, the present invention will be described in further detail.It should be noted that specific embodiment described herein is only explaining this hairIt is bright, it is not intended to limit the present invention. Wifi explorer pro 2 1 7 cr2 download free.

Compression of images general principle proposed by the present invention is：Image is high redundancy and local height is similar, is such as schemedShown in 1, a width input picture (Fig. 1 (a)) is given, matrix F (Fig. 1 (b)) is marked according to compression of images, abandoned in the input imagePartial pixel (Fig. 1 (c)), then sort left to right to obtain compression image (Fig. 1 (c)) to abandoning pixel, black disk (Fig. 1 in figure(e) it is) original pixels, white space (Fig. 1 (f)) represents that the position pixel is dropped in Fig. 1 (c).

Fig. 2 gives compression image reconstruction process：Matrix F (Fig. 2 (b)) is first marked according to compression of images, to compressing imagePixel is resequenced in (Fig. 2 (a)), obtains the compression figure comprising known pixels (Fig. 2 (e)) and unknown pixel (Fig. 2 (f))As reordering result (Fig. 2 (c)), further according to known pixels (Fig. 2 (e)) in compression image, using image local similarity feature,Using local neighborhood image rebuilding method, unknown pixel (Fig. 2 (f)) value (Fig. 2 (g)) is estimated, for obtaining compression figureAs reconstruction image (Fig. 2 (d)).

Fig. 3 gives an image discarding and repairing effect example, for proving the validity of the inventive method.Such as Fig. 3Shown, wherein Fig. 2 (a) is Lena images, image resolution ratio 512*512, and bit wide is 8bits gray level image, random drop70% pixel in Lena images, it is dropped pixel position for ease of being shown in and is arranged to 0, obtains abandoning pixel shown in Fig. 3 (b)Image, and the compression image of the present invention, then, picture is abandoned using known pixels compensation in pixel image (Fig. 3 (b)) is abandonedElement, specific method are：For some discarding pixel P (i, j), (i, j) is image coordinate, s*s sizes is taken centered on (i, j)Neighborhood, in neighborhood, all known pixels are found out, and calculate the intermediate value of these known pixels, as discarding pixel P's (i, j)Estimate, and it is filled into (i, the j) opening position for abandoning image.Fig. 3 (c) is to use the big small neighbourhood repairing effect figures of 3*3.From reparationAs a result as can be seen that proposed by the present invention realize that the method for image Fast Compression is feasible by abandoning partial pixel.

Fig. 4 gives the compression of images result in the case of 90%, 95%, 99% compression ratio, and uses the big small neighbourhoods of 9*9Reconstructed results.As can be seen that the inventive method can well reconstruct original image in 90% compression ratio.

The operating procedure of method for compressing image of the present invention is as follows：

1) compression of images mark matrix F is generated, F is that w*h ties up matrix, and w, h are respectively by the width of compression image, height；Element value is 0 or 1 in compression of images marks matrix F；

2) the compression of images mark matrix F of generation is imported in video camera；

3) in image acquisition process, according to camera image sensor export field sync signal V, line synchronising signal H,Pixel clock C, calculate the image coordinate (i, j) of present sample pixel；Read corresponding position member in compression of images mark matrix FPlain F (i, j)；As F (i, j)=1, sample and preserve current pixel；As F (i, j)=0, current pixel is abandoned；In image pressureIn compression process, after a line compression of images is completed, new a line image is sequentially arranged into retaining pixel in the row, willNew a line image is used to store or transmit as a packet, or synchronous according to the new row of row reservation pixel quantity generationSignal H'.

The generation method of compression of images mark matrix F of the present invention includes：

Method 1：

It is 0 or 1 to manually set element in F.

Method 2：

Element F (i, j)=b (r) in compression of images matrix is generated using bi-distribution b (), wherein, r is bi-distribution letterSeveral input parameters, r are the probability that Binomial Distributing Function b () output valve is 1.

It is compared with method 1, the advantages of method 2：Element value in the F generated by bi-distribution random function, in imageIn more uniformly spread, be advantageous to lifting compression image reconstruction effect.And it is possible to the value by adjusting input parameter r, realExisting image compression ratio adjustment.

Method 3：

First using method 2 generate compression of images matrix F, and judge row vector F in F (i,:) in element sum S (i) whetherIt is equal, if unequal, the average M of all row vector element sum S (i) is calculated, and M is rounded, obtain M '；Pass through hand againDynamic method of adjustment, change element value in row vector, make in F that element sum is equal to M ' in all row vectors.

In image compression process, the pixel of discarding is no longer saved or transmitted, and is rearranged original pixel order,Therefore, in image reconstruction, it is necessary to the pixel preserved is put back to correspondence position in image according to image tagged matrix, then makeImage reconstruction is carried out with local neighborhood image repair method.Directly entire image is transmitted in order, to data transfer and storageThe requirement of link is higher, once some pixel is lost in the transmission, then image reconstruction will malfunction.Therefore, method 3 passes through settingCompression of images matrix F have identical row vector element and, the pixel quantity for being compressed every a line is identical, and with behavior listPosition, subpackage storage or transmission are carried out, even if in transmission or storing process, some load-source='patent-office'>

A kind of 1. camera review Fast Compression method, it is characterised in that：In camera review gatherer process, direct discarded partDivide pixel, realize image Fast Compression；
Concrete methods of realizing is：A compression of images mark matrix F is stored in video camera, F dimension is w*h, wherein, w, hThe width and height of image are respectively gathered, w, h span are that element value is 0 or 1 in 1~100000, F；ImagingIn machine image acquisition process, the field sync signal V, line synchronising signal H, the pixel clock C that are exported according to imaging sensor, calculate and work asPreceding pixel P coordinate (i, j) in the picture, according to image coordinate (i, j), take out corresponding position in compression of images mark matrix FElement F (i, j), as F (i, j)=0, current pixel P is abandoned, as F (i, j)=1, retain current pixel P；In compression of imagesDuring, after a line compression of images is completed, new a line image is sequentially arranged into retaining pixel in the row, will be newA line image be used to store or transmit as a packet or the synchronous letter of the new row of pixel quantity generation retained according to the rowNumber H'.
2. according to claim 1, element F (i, j) value is random in compression of images mark matrix F.
3. according to claim 1 and 2, element F (i, j) meets bi-distribution in compression of images mark matrix F：
Wherein, b is Binomial Distributing Function, and r is the probability that Binomial Distributing Function output valve is equal to 1, and r spans are 0~1；FigurePicture compression ratio is equal with bi-distribution b () input parameter r, and image compression ratio is adjusted by adjusting r.
Compress 1 0 1 – Image Compression Valve
4. according to claims 1 to 3, make all row vector F in compression of images mark matrix F (i,:) interior element sum S (i) phasesDeng, to ensure that pixel quantity is equal in compression image per a line, wherein, F (i,:) be in the rows of F i-th all elements form toAmount, i span is 1~h.
5. according to Claims 1 to 4, when h S (i) is unequal in the compression of images mark matrix F of bi-distribution generation, h is takenThe average M of individual S (i), and M' is obtained to M round numbers；Manual modification compression of images mark matrix F in row vector F (i,:) in memberElement, make all S (i)=M' in F；During repairing changes, the element of modification be dispersed evenly to row vector F (i,:) in.
CN201710877306.9A2017-09-252017-09-25A kind of camera review Fast Compression method CN107465879A (en)

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