CN110121074A - A kind of big compression method of satellite image of performance precognition - Google Patents
A kind of big compression method of satellite image of performance precognition Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/103—Selection of coding mode or of prediction mode
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- 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
- H04N19/167—Position within a video image, e.g. region of interest [ROI]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/70—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/85—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression
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Abstract
A kind of big compression method of satellite image of performance precognition of the present invention, pass through the method for estimating compression of images performance of proposition, the Y-PSNR PSNR of calculated in advance compression front and back image, subsequent big compression processing is taken according to acquired results, it ensure that regardless of image, all picture quality restored after compression processing of the present invention is all met the requirements, to expand the image compression rate in practical application, overcomes the problem that compression performance can not be known without actual compression.The present invention is based on JPEG2000 standard picture compression method, the big compression of image for meeting performance requirement is realized, the application value of image data compression method is increased.Especially in the case where 16 times of compression ratios, the present invention organically combines reduced overall and area-of-interest compression, ensure that channel transmission data amount is always original 1/16, compression performance is met the requirements.
Description
Technical field
The present invention relates to a kind of method of data transmission, in particular to a kind of big compression side of satellite image of performance precognition
Method belongs to communication (such as data communication technology) field.
Background technique
With the development of science and technology, demand of the people to high-definition picture is increasing, data compression is imperative.
Data compression is divided into lossy compression and lossless compression method, restores image and original image after lossless compression method compression
There is no information losses, but compression ratio is especially small, and general 2 times or so, use occasion is limited, are not easy to carry out data transmission.One
As high speed data transmission system use compression method be mostly to have damage method, for compression of images, under normal circumstances, compression
Front and back image Y-PSNR (PSNR) should reach 30dB, and the higher PSNR of compression ratio is smaller.Such as 16 in the case of larger compression ratio
Times or so, often 30dB is not achieved PSNR.
There are many current image data compression methods, representative to have JPEG and JPEG2000.Since compression standard is calculated
Method function is relatively more, and algorithm is related with image self character, is not all to be for the best in what situations.In many practical application feelings
Under condition, compression ratio is generally 4 times, and the compression that some occasions need is bigger, and such as 16 times, then current compression algorithm performance can not expire
Foot requires.Although standard compression methods are not the compression effectiveness having had to what image, standard method is widely used, if
It can obtain that the better compression method of performance is then significant, and application range is also wide based on this method.
Summary of the invention
Technical problem solved by the present invention is overcoming the deficiencies of the prior art and provide a kind of satellite image of performance precognition
Big compression method meets user's requirement by pre-estimating compression performance big compression ratio compression (such as 16 times) compression of original image.
The technical scheme is that a kind of big compression method of satellite image of performance precognition, steps are as follows:
1) it sets and uses PSNR performance threshold at R times of compression method a compression for PSNR0 as the image A of M*N size, it should
Thresholding derives from the requirement of user；Wherein M, N are positive integer, and R takes representative value 16；
2) PSNR of image when image A compresses R times using compression method a is calculated,；
3) threshold margin T≤0 is set；If PSNR >=PSNR0+T, R multiplication of voltage is carried out with compression method a to image A
Contracting, obtains compressed data stream C1；If PSNR < PSNR0+T, R times is carried out with compression method b to image A and is compressed, is compressed
Data flow C2；
4) transmit or store the compressed data stream C1 or C2 of image A；
5) C1 or C2 is decompressed, obtains the recovery image B of original image A.
The compression method that the compression method a is used is JPEG2000 standard compression methods.
Steps are as follows for the calculating of the PSNR of image when described image A compresses R times using compression method a:
11) intermediate quantity parameter S is calculated:
S=(Q+V)/(M*N)；Wherein Q=∑ ∑ abs (A (i+1, j)-A (i, j), V=∑ ∑ abs (A (i, j+1)-A
(i, j))；
I=1 ... M, J=1 ... N-1 in i=1 ... M-1 in the preceding paragraph Q of above formula, J=1 ... N, consequent V；
12) PSNR is calculated:
PSNR=-9.6304ln (S)+59.0983dB
Ln (S) is the natural logrithm of S.
Described to carry out R times with compression method b to image A and compress, forming compressed data C2, specific step is as follows:
The region of interest area image A1 of image A is selected, size accounts for the 1/4 of whole image A；
JPEG2000 standard compression methods are based on to region of interest area image A1 and compress 4 times, form compressed data C2.
Described to carry out R times with compression method b to image A and compress, forming compressed data C2, specific step is as follows:
The region of interest area image A1 of image A is selected, size accounts for the 1/16 of whole image A；
Image A is based on JPEG2000 standard compression methods and compresses 64 times, forms compressed data C, it is emerging that C2 is hidden into sense
In interesting area image A1, compressed data C2 is formed, region of interest area image A1 size is constant, remains as 1/16.
Described to carry out R times with compression method b to image A and compress, forming compressed data C2, specific step is as follows:
Image A is zoomed in and out, the image A1 of diminution is extracted, size accounts for the 1/4 of whole image A；To the image A1 of diminution
Standard compression methods based on AMBTC compress 4 times, form compressed data C2.
Described to carry out R times with compression method b to image A and compress, forming compressed data C2, specific step is as follows:
Image A is zoomed in and out, the image A1 of diminution is extracted, size accounts for the 1/16 of whole image A, forms compressed data
C2。
The beneficial effect of the present invention compared with prior art is:
The present invention is judged accurate when not changing data compression standard system by prior the method according to the invention
The method that estimation PSNR carries out subsequent compression step again, has played the effect of " knowing yourself as well as the enemy victorious in every battle ".
Benefit: do not have to " unzip it again after compression, then could calculate the old method of PSNR ", enormously simplify and pass through
Recovery obtains good compression effectiveness.
The present invention has these points substantive different and progress compared with current background technique:
(1) this method is in advance found out the image for meeting (16 times) of high compression requirements, is directly compressed greatly, is obtained
PSNR is very close with actual value.
(2) this method is in advance found out the image for being unsatisfactory for (16 times) of high compression requirements, and area-of-interest is selected to carry out
Compression of images (4 times), due to user can receive 4 times compression as a result, therefore the compression performance of the parts of images also meets user
It is required that.The PSNR that image of interest obtains can satisfy user's requirement.
(3) this method accurately obtain in advance it is compressed and decompressed after just getable PSNR value, enormously simplify PSNR meter
Calculation process guarantees that the image that receiving end decompression restores meets user's requirement.The method for precalculating PSNR is based on for inventor
JPEG2000 compression method sums up hundreds and thousands of width international standard image PSNR calculating, and PSNR is compared with PSNR true value
Precision is different from open source literature 2% or so.
(4) this method can be used in combination with many conventional compression methods, filter out performance image up to standard in advance,
Take reasonable compression method.
(5) this method looks for another way, and solves 4 times or more and directlys adopt 16 times of compressions and is unable to satisfy the contradiction that user asks,
It avoids after user receives image and just knows the bad situation of compression effectiveness, after having accomplished the big compression of image, the image that receives
Or region of interest area image can be met the requirements.
(6) this method is that data compression standard high compression ratio practical application opens new technological approaches, only simple in advance
The characteristic ginseng value for calculating the gradient-like of image, can be expanded to compression ratio 16 times or other times.
(7) this method Background sources are in satellite image, but are suitable for the compression of ordinary numbers image, are not suitable only for
Satellite image.
(8) this method has accomplished the effect applied under different big compression ratios by setting PSNR surplus T.
Detailed description of the invention
Fig. 11 boat.bmp of experimental image (512*512*8bit) of the present invention；
Fig. 22 baboon.bmp of experimental image (512*512*8bit) of the present invention.
Specific embodiment
By simulating, verifying performance of the invention, 2 width sizes are used in experiment as 512 × 512 8 bit international standards
Gray level image (boat.bmp and Baboon.bmp) is compressed and is restored.
The property of compression algorithm is measured using Y-PSNR (Peak Signal to Noise Ratio, PSNR) index
Energy.The 8bit digital picture for being H × W for a width size, PSNR are defined as follows:
In formula, MSE is original image and restores the mean square deviation between image, and calculation formula is
Here xij,It respectively indicates original image and restores pixel value of the image at (i, j).
Performance test
The results are shown in Table 1 for 2000 compression processing of JPEG of standard picture, under different compression ratios
The PSNR value (dB) of 4 width standard pictures.
Table 1
Citing 1
The compression of Fig. 1 boat.bmp
(1) PSNR performance threshold of the image A with R=16 times of the compression of JPEG2000 compression method 1 when is set as PSNR0=
34dB, the thresholding derive from the requirement of user；
(2) to image A (size M*N, M, N are positive integer), image when compressing R times with compression method 1 is pre-estimated
PSNR, setting threshold margin T >=0, R representative value are 16；
T=0；
To image A (size M*N, M, N are positive integer),
M=512, N=512
S=(∑ ∑ abs (A (i+1, j)-A (i, j))+∑ ∑ abs (A (i, j+1)-A (i, j)))/(M*N)
I=1 ... M-1 in first item, J=1 ... N, i=1 ... M, J=1 ... N-1 in Section 2
S (boat)=14.06dB
PSNR=-9.6304ln (S)+59.0983dB is calculated again
Obtain PSNR (boat)=34.38dB
(3) there are PSNR >=PSNR0+T,
PSNR (boat)=34.38dB > PSNR0 (34dB)
R times so is carried out with compression method 1 to image A to compress, R=16, obtain compressed data stream C1；
(4) transmit or store the compressed data stream C1 of image A；
(5) it decompresses: C1 being decompressed according to step 3 respective process, obtains the recovery image B of original image A.
Practical PSNR=34.42dB.
It illustrates the compression of 2 Fig. 2 baboon.bmp
(1) PSNR performance threshold of the image A with R=16 times of the compression of JPEG2000 compression method 1 when is set as PSNR0=
34dB, the thresholding derive from the requirement of user；
(2) to image A (size M*N, M, N are positive integer), image when compressing R times with compression method 1 is pre-estimated
PSNR, setting threshold margin T >=0, R representative value are 16；
T=0；
To image A (size M*N, M, N are positive integer),
M=512, N=512
S=(∑ ∑ abs (A (i+1, j)-A (i, j))+∑ ∑ abs (A (i, j+1)-A (i, j)))/(M*N)
I=1 ... M-1 in first item, J=1 ... N, i=1 ... M, J=1 ... N-1 in Section 2
S (baboon)=34.43
PSNR=-9.6304ln (S)+59.0983dB is calculated again
PSNR (baboon)=25.48dB
(3) PSNR (baboon)=25.48dB < PSNR0 (34dB)
It is unsatisfactory for PSNR >=PSNR0, then
Select one of following four:
1) the region of interest area image A1 of image A is selected, size accounts for the 1/4 of whole image A；
JPEG2000 standard compression methods are based on to region of interest area image A1 and compress 4 times, form compressed data C2.
2) the region of interest area image A1 of image A is selected, size accounts for the 1/16 of whole image A；
Image A is based on JPEG2000 standard compression methods and compresses 64 times, forms compressed data C, it is emerging that C2 is hidden into sense
In interesting area image A1, compressed data C2 is formed, region of interest area image A1 size is constant, remains as 1/16.
3) image A is zoomed in and out, extracts the image A1 of diminution, size accounts for the 1/4 of whole image A；To the image of diminution
A1 compresses 4 times based on the standard compression methods of AMBTC, forms compressed data C2.
4) image A is zoomed in and out, extracts the image A1 of diminution, size accounts for the 1/16 of whole image A, forms compressed data
C2。
(4) transmit or store the compressed data stream C2 of image B2；
(5) it decompresses: being decompressed according to step 3 respective process, obtain C2；
Obtain the recovery image B of original image A.
Practical PSNR=25.48dB.
In real image transmission, required to meet big compression ratio (such as 16) compression, not ready-made compression method,
JPEG2000 canonical algorithm current generally accepted method on satellite is 4 times, in short, utilizing image the present invention provides a kind of
Performance pre-estimates the new method for carrying out preferably and then carrying out again subsequent compression, and can guarantee big compression ratio, (such as 16 times even more
There is JPEG2000 image compression quality in the case of greatly) performance to stablize, and adaptable, low complex degree is easy to software and hardware realization
Feature has practical value in various image compressing transmission systems.
Unspecified part of the present invention belongs to common sense well known to those skilled in the art.
Claims (7)
1. a kind of big compression method of satellite image of performance precognition, it is characterised in that steps are as follows:
1) it sets and uses PSNR performance threshold at R times of compression method a compression for PSNR0 as the image A of M*N size, the thresholding
From the requirement of user；Wherein M, N are positive integer, and R takes representative value 16；
2) PSNR of image when image A compresses R times using compression method a is calculated,；
3) threshold margin T≤0 is set；If PSNR >=PSNR0+T, R times is carried out with compression method a to image A and is compressed, is obtained
To compressed data stream C1；If PSNR < PSNR0+T, R times is carried out with compression method b to image A and is compressed, compressed data is obtained
Flow C2；
4) transmit or store the compressed data stream C1 or C2 of image A；
5) C1 or C2 is decompressed, obtains the recovery image B of original image A.
2. a kind of big compression method of satellite image of performance precognition according to claim 1, it is characterised in that: the compression
The compression method that method a is used is JPEG2000 standard compression methods.
3. a kind of big compression method of satellite image of performance precognition according to claim 2, it is characterised in that: described image
Steps are as follows for the calculating of the PSNR of image when A compresses R times using compression method a:
11) intermediate quantity parameter S is calculated:
S=(Q+V)/(M*N)；Wherein Q=∑ ∑ abs (A (i+1, j)-A (i, j), V=∑ ∑ abs (A (i, j+1)-A (i,
j))；
I=1 ... M, J=1 ... N-1 in i=1 ... M-1 in the preceding paragraph Q of above formula, J=1 ... N, consequent V；
12) PSNR is calculated:
PSNR=-9.6304ln (S)+59.0983dB
Ln (S) is the natural logrithm of S.
4. a kind of big compression method of satellite image of performance precognition according to claim 1, it is characterised in that: described pair of figure
It is compressed as A carries out R times with compression method b, forming compressed data C2, specific step is as follows:
The region of interest area image A1 of image A is selected, size accounts for the 1/4 of whole image A；
JPEG2000 standard compression methods are based on to region of interest area image A1 and compress 4 times, form compressed data C2.
5. a kind of big compression method of satellite image of performance precognition according to claim 1, it is characterised in that: described pair of figure
It is compressed as A carries out R times with compression method b, forming compressed data C2, specific step is as follows:
The region of interest area image A1 of image A is selected, size accounts for the 1/16 of whole image A；
Image A is based on JPEG2000 standard compression methods and compresses 64 times, compressed data C is formed, C2 is hidden into region of interest
In area image A1, compressed data C2 is formed, region of interest area image A1 size is constant, remains as 1/16.
6. a kind of big compression method of satellite image of performance precognition according to claim 1, it is characterised in that: described pair of figure
It is compressed as A carries out R times with compression method b, forming compressed data C2, specific step is as follows:
Image A is zoomed in and out, the image A1 of diminution is extracted, size accounts for the 1/4 of whole image A；The image A1 of diminution is based on
The standard compression methods of AMBTC compress 4 times, form compressed data C2.
7. a kind of big compression method of satellite image of performance precognition according to claim 1, it is characterised in that: described pair of figure
It is compressed as A carries out R times with compression method b, forming compressed data C2, specific step is as follows:
Image A is zoomed in and out, the image A1 of diminution is extracted, size accounts for the 1/16 of whole image A, forms compressed data C2.
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