CN104967860B - A kind of method for compressing image encrypted based on subband - Google Patents
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Abstract
The present invention relates to a kind of method for compressing image encrypted based on subband, S1 is pre-processed to original image；S2 carries out the low frequency sub-band obtained after 5 grades of wavelet transformations, 5 grades of wavelet transformations of output to pretreated image（LL subbands）And high-frequency sub-band, wherein LL subbands are main information subband, and high-frequency sub-band is secondary information subband；The main information subband and all secondary information subbands that S3 is exported to S2 carry out Tier1 codings；S4 carries out stream cipher encrypting to main information sub-band number packet in Tier2 cataloged procedures, and S5 obtains all secondary information subband compressed data packets progress code stream organizations that the main information sub-band number packet after encryption and S3 are exported the compression image by encryption.This method does not increase extra memory and additional compression data code flow size by the way that main information subband is encrypted while picture compression efficiency is not reduced, and effectively improves the security of image information transmission.
Description
Technical field
The present invention relates to image procossing, a kind of method for compressing image encrypted based on subband is referred specifically to.
Background technology
Compression of images refers to the technology that original picture element matrix is damaged or nondestructively represented with less bit, also referred to as image
Coding.From the viewpoint of mathematics, this process be actually by two-dimensional array be transformed to one it is statistically unrelated
The data acquisition system of connection.
The general principle of compression of images is：Redundancy is there is in view data, the redundancy of view data is mainly shown as：Figure
Spatial redundancy caused by correlation as between adjacent pixel；There is caused by correlation the time in image sequence between different frame
Redundancy；Spectral redundancy caused by the correlation of different color planes or spectral band.The purpose of data compression is exactly by removing this
A little data redundancies represent bit number needed for data to reduce.It is huge due to image data amount, in storage, transmission, processing
It is extremely difficult, therefore the compression of view data just seems extremely important.
Existing method for compressing image includes damaging data compression and lossless data compression.But either damage data compression
Or lossless data compression mostly uses the image compression algorithm of standard, view data is not taken in compression, transmitting procedure
Any safety measure so that view data is fully transparent visible in transmitting procedure, image information is easily intercepted and captured by attacker.
The content of the invention
In view of the above-mentioned problems existing in the prior art, it is simple it is an object of the invention to provide a kind of method and safe and reliable
The method for compressing image encrypted based on subband, the method for compressing image effectively solves the security of Compressed Image Transmission.
To achieve the above object, the present invention is adopted the following technical scheme that：A kind of method for compressing image encrypted based on subband,
Comprise the following steps：
S1：Original image is pre-processed；
S2：5 grades of wavelet transformations are carried out to pretreated image, method is as follows：
S2a：Make j=1；
S2b：Pretreated image carries out j-th stage wavelet transformation, and obtaining a subband in four subbands, four subbands is
The main information subband of low frequency is designated as LLj, other three subbands are that high frequency time wants information subband to be designated as HL respectivelyj、LHj、HHj；
S2c：By the main information subband LL of low frequency obtained after j-th stage wavelet transformationjProceed wavelet transformation, obtain four
One is that the new main information subband of low frequency is designated as LL in new subband, four new subbandsj+1, other three are new high frequency time
Information subband is wanted to be designated as HL respectivelyj+1、LHj+1And HHj+1；
S2d：Make j=j+1；
S2e：If j<5, then step S2c is performed, next step is otherwise performed；
S2f：Export the main information subband LL of low frequency obtained after the 5th grade of wavelet transformation5The institute obtained with each wavelet transformation
There is high frequency time to want information subband HLj、LHjAnd HHj, j=1,2,3,4,5；
S3：The main information subband LL of low frequency exported to step S2f5Information subband is wanted to carry out Tier1 volumes with all high frequency times
Code, method is as follows：
S3a：The main information subband of low frequency and all high frequency times of step S2f outputs want information subband individually to carry out bit plane volume
Code obtains adjudicating D and context CTX sequences accordingly；
S3b：Then all judgement D and context CTX obtained to step S3a carry out MQ codings respectively, obtain encoding stream,
That is compressed data packets；
The main information subband LL of low frequency5Compressed data packets, which are obtained, by step S3a and S3b is designated as the main information sub-band number number of low frequency
According to bag, all high frequency times want information subband to obtain compressed data packets by step S3a and S3b and be referred to as high frequency time wanting information subband
Compressed data packets；
S4：The main information sub-band number packet of low frequency obtained to step S3b carries out Tier2 codings, and method is as follows：
Information sub-band number packet main to low frequency be encrypted using the cryptographic calculation of formula (1)：
yk=(p1xk+p2δk)mod256 (1)；
Wherein, xkFor k-th of data, y in the main information sub-band number packet of low frequencykFor the main information sub-band number packet of low frequency
In k-th of data ciphertext data after encryption, δkFor k-th of key stream currency, P1 and P2 are the element less than 256
Number；
S5：By the main information sub-band number packet of low frequency after step S4 encryptions and all high frequencies of step S3b outputs
Secondary information subband compressed data packets progress code stream organization obtains the compression image by encryption.
Preferably, change is handled centered on pretreatment in the step S1, the value of each pixel in original image
Between 0-255, handled by original image centralization, by the value of each pixel in original image be revised as -128 to
Between 127.
Preferably, parameter δ in formula (1) in the step S4k, P1 and P2 determination method is as follows：
S4a：Initial key is set, and initial key length is 128bit, initial key input Geffe generators are obtained one
Pseudo-random number sequence；
S4b：Then step S4a is obtained into pseudo-random number sequence by Hash functional operation and obtains new pseudorandom number sequence,
8 are often taken to obtain a key stream currency δ in the new pseudorandom number sequencekValue；
S4c：According to obtained key stream currency δkValue obtain prime P 1 and P2 by being calculated as below：
1) prime number 2 will be removed in the prime number less than 256, ascending be arranged in order of remaining prime number is then formed into prime number
Table；
2) calculated according to formula (2)：
WP1=δkmod30 (2)；
Wherein, WP1Value represent step 1) in table of primes position, WP1The prime number of pointed location is P1 in table of primes
Value；
Calculated according to formula (3)：
WP2=30+ δkmod23 (3)；
Wherein, WP2Value represent step 1) in table of primes position, WP2The prime number of pointed location is P2 in table of primes
Value.
Relative to prior art, the invention has the advantages that：
The method for compressing image that the present invention is provided is in image compression process, by being added to the main information subband of low frequency
It is close, without additionally increase compressed data code stream size while picture compression efficiency is not reduced, and effectively improve image letter
The security of transmission is ceased, length can flexibly change, arithmetic speed is fast while the AES also has, mistake in ciphertext transmission
Less, even without mistake the advantages of.
Brief description of the drawings
The flow chart of Fig. 1-method for compressing image of the present invention.
Embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings.
Referring to Fig. 1, a kind of method for compressing image encrypted based on subband is comprised the following steps：
S1：Original image is pre-processed, the pretreatment is preferably centralization processing, i.e., will be each in original image
The value of pixel is handled between 0-255 by original image centralization, and the value of each pixel in original image is changed
Between -128 to 127.After centralization processing, the pixel value of image is easy to compression below to handle on origin symmetry；
S2：5 grades of wavelet transformations are carried out to pretreated image, method is as follows：
S2a：Make j=1；
S2b：Pretreated image carries out j-th stage wavelet transformation, and obtaining a subband in four subbands, four subbands is
The main information subband of low frequency is designated as LLj, other three subbands are that high frequency time wants information subband to be designated as HL respectivelyj、LHj、HHj；
S2c：By the main information subband LL of low frequency obtained after j-th stage wavelet transformationjProceed wavelet transformation, obtain four
One is that the new main information subband of low frequency is designated as LL in new subband, four new subbandsj+1, other three are new high frequency time
Information subband is wanted to be designated as HL respectivelyj+1、LHj+1And HHj+1；
S2d：Make j=j+1；
S2e：If j<5, then step S2c is performed, next step is otherwise performed；
S2f：Export the main information subband LL of low frequency obtained after the 5th grade of wavelet transformation5The institute obtained with each wavelet transformation
There is high frequency time to want information subband HLj、LHjAnd HHj, i=1,2,3,4,5；
S3：The main information subband LL of low frequency exported to step S2f5Information subband is wanted to carry out Tier1 volumes with all high frequency times
Code, method is as follows：
S3a：The main information subband of low frequency and all high frequency times of step S2f outputs want information subband individually to carry out bit plane volume
Code obtains adjudicating D and context CTX sequences accordingly；
I.e.：To LL5The main information subband of low frequency carries out Bit-Plane Encoding and obtains adjudicating D and context CTX sequences accordingly；
Information subband HL is wanted to high frequency time1Bit-Plane Encoding is carried out to obtain adjudicating D and context CTX sequences accordingly；It is right
High frequency time wants information subband LH1Bit-Plane Encoding is carried out to obtain adjudicating D and context CTX sequences accordingly；High frequency time will be believed
Cease subband HH1Bit-Plane Encoding is carried out to obtain adjudicating D and context CTX sequences accordingly；Successively will to all high frequency times
Information subband carries out Bit-Plane Encoding and obtains adjudicating D and context CTX sequences accordingly respectively；
S3b：Then all judgement D and context CTX obtained to step S3a carry out MQ codings, obtain encoding stream, that is, press
Contracting packet；
The main information subband LL of low frequency5Compressed data packets, which are obtained, by step S3a and S3b is designated as the main information sub-band number number of low frequency
According to bag, each high frequency time wants information subband can obtain a compressed data packets after step S3a and S3b, for convenience
Describe below, information subband to obtain compressed data packets by step S3a and S3b and be referred to as high frequency time believing all high frequency times
Cease subband compressed data packets；
It can also increase a rate control step in the step for carrying out following,
I.e.：A code check (specifically can rule of thumb set) is first set, the main information sub-band number packet of low frequency is carried out
Rate Control, forms the new main information sub-band number packet of low frequency, information subband compressed data packets to carry out code check control high frequency time
System forms new high frequency time and wants information subband compressed data packets.
So below step S4 is corresponding when encrypting, and is the main information sub-band number packet of new low frequency, and step S5 carries out code stream
Packet during tissue is then main information sub-band number packet after step S4 encryptions and formed after Rate Control
New high frequency time wants information subband compressed data packets.
S4：Using without Cipher Feedback application model, design encryption and decryption operates to be that unit is carried out with byte (8bit).Adding
Simple linear process is avoided in the realization of close operation, using the key stream local leakage for avoiding bringing when data is zero.
The main information sub-band number packet of low frequency obtained to step S3b carries out Tier2 codings, and method is as follows：
Information sub-band number packet main to low frequency be encrypted using the cryptographic calculation of formula (1)：
yk=(p1xk+p2δk)mod256 (1)；
Wherein, xkFor k-th of data, y in the main information sub-band number packet of low frequencykFor the main information sub-band number packet of low frequency
In k-th of data ciphertext data after encryption, δkFor k-th of key stream currency, P1 and P2 are the element less than 256
Number.
δk, P1 and P2 be all that 8bit, P1 and P2 are according to key stream currency δkObtain.Due to the prime number less than 256 only
There are 54, and prime number value 2 need to be excluded, totally 53 prime numbers, this 53 prime numbers constitute a table of primes.Therefore P1δ can be passed throughk
Mod30 is addressed to obtain in table of primes, P230+ δ can be passed throughkMod23 is addressed to obtain in table of primes, specific formula
(1) parameter δ ink, P1 and P2 determination method is as follows：
Parameter δ in formula (1) in the step S4k, P1 and P2 determination method is as follows：
S4a：Initial key is set, and initial key length is 128bit, initial key input Geffe generators are obtained one
Pseudo-random number sequence；
S4b：Then step S4a is obtained into pseudo-random number sequence by Hash functional operation and obtains new pseudorandom number sequence,
8 are often taken to obtain a key stream currency δ in the new pseudorandom number sequencekValue；
S4c：According to obtained key stream currency δkValue obtain prime P 1 and P2 by being calculated as below：
1) prime number 2 will be removed in the prime number less than 256, ascending be arranged in order of remaining prime number is then formed into prime number
Table；
2) calculated according to formula (2)：
WP1=δkmod30 (2)；
Wherein, WP1Value represent step 1) in table of primes position, WP1The prime number of pointed location is P1 in table of primes
Value；
Calculated according to formula (3)：
WP2=30+ δkmod23 (3)；
Wherein, WP2Value represent step 1) in table of primes position, WP2The prime number of pointed location is P2 in table of primes
Value.
The main information sub-band number packet of low frequency includes N number of data, k=1,2,3 .., N, during encryption, each data correspondence
One key stream currency, so as to add AES security.
Pass through parameter δk, P1 and P2 are effectively increased the security of AES, while effective controling power encryption is calculated
The computation complexity of method, is easy to computing and realization.S5：By by step S4 encryption after the main information sub-band number packet of low frequency and
All high frequency times of step S3b outputs want information subband compressed data packets progress code stream organization to obtain the compression image by encryption
Key stream currency δ is obtained by key stream generator, the key stream generator be based primarily upon Geffe generators and
Hash functions are designed, and wherein Geffe generators are a kind of key stream generators based on linear feedback shift register LFSR,
It produces stream cipher using linear feedback shift register LFSR.LFSR output is a pseudo-random number sequence, i.e. m sequences
Row.Geffe generators have used 3 linear feedback shift register LFSR, and it is combined in a non-linear fashion.Its
In, 2 linear feedback shift register LFSR are as the input of recombiner, and the 3rd linear feedback shift register LFSR be used for
Control the output of recombiner.
But m-sequence and compound m-sequence (including Geffe generators), its internal state is can be by analyzing output codons
And be cracked.In order to overcome this problem, we have concatenated the Hash letters of unidirectional trapdoor after pseudo-random sequence generator
Number.Cracker just can not inversely obtain the internal state of Geffe generators, so as to protect by the stream cipher code word of final output
The security of this key stream generator is demonstrate,proved.
The image encryption compression algorithm is directed to safety defect of the JPEG2000 standards on image compressing transmission, in standard
On the basis of add stream cipher encrypting algorithm, i.e., encryption has been carried out to afterbody low frequency LL subbands, has been effectively protected
The main information of image, so as to solve the security of Compressed Image Transmission.Through image encryption compression algorithm handle image by
Dsp chip is exported, and is handled by the data protocol of fpga chip, is obtained the output of unmanned plane image encryption compression set.
Finally illustrate, the above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted, although with reference to compared with
The present invention is described in detail good embodiment, it will be understood by those within the art that, can be to skill of the invention
Art scheme is modified or equivalent substitution, and without departing from the objective and scope of technical solution of the present invention, it all should cover at this
Among the right of invention.
Claims (3)
1. a kind of method for compressing image encrypted based on subband, it is characterised in that comprise the following steps：
S1：Original image is pre-processed；
S2：5 grades of wavelet transformations are carried out to pretreated image, method is as follows：
S2a：Make j=1；
S2b：Pretreated image carries out j-th stage wavelet transformation, and it is low frequency to obtain a subband in four subbands, four subbands
Main information subband is designated as LLj, other three subbands are that high frequency time wants information subband to be designated as HL respectivelyj、LHj、HHj；
S2c：By the main information subband LL of low frequency obtained after j-th stage wavelet transformationjProceed wavelet transformation, obtain four it is new
One is that the new main information subband of low frequency is designated as LL in subband, four new subbandsj+1, other three are that new high frequency time will be believed
Breath subband is designated as HL respectivelyj+1、LHj+1And HHj+1；
S2d：Make j=j+1；
S2e：If j<5, then step S2c is performed, next step is otherwise performed；
S2f：Export the main information subband LL of low frequency obtained after the 5th grade of wavelet transformation5All high frequencies obtained with each wavelet transformation
Secondary information subband HLj、LHjAnd HHj, j=1,2,3,4,5；
S3：The main information subband LL of low frequency exported to step S2f5Information subband is wanted to carry out Tier1 codings, side with all high frequency times
Method is as follows：
S3a：The main information subband of low frequency and all high frequency times of step S2f outputs want information subband individually to carry out Bit-Plane Encoding to obtain
To corresponding judgement D and context CTX sequences；
S3b：Then all judgement D and context CTX obtained to step S3a carry out MQ codings respectively, obtain encoding stream, that is, press
Contracting packet；
The main information subband LL of low frequency5Compressed data packets, which are obtained, by step S3a and S3b is designated as the main information sub-band number packet of low frequency,
All high frequency times want information subband by step S3a and S3b obtain compressed data packets be referred to as high frequency time want information subband compress
Packet；
S4：The main information sub-band number packet of low frequency obtained to step S3b carries out Tier2 codings, and method is as follows：
Information sub-band number packet main to low frequency be encrypted using the cryptographic calculation of formula (1)：
yk=(p1xk+p2δk)mod256 (1)；
Wherein, xkFor k-th of data, y in the main information sub-band number packet of low frequencykFor kth in the main information sub-band number packet of low frequency
Individual data ciphertext data after encryption, δkFor k-th of key stream currency, P1 and P2 are the prime number less than 256；
S5：Will by all high frequency times of the main information sub-band number packet of low frequency after step S4 encryptions and step S3b outputs
Information subband compressed data packets progress code stream organization obtains the compression image by encryption.
2. the method for compressing image as claimed in claim 1 encrypted based on subband, it is characterised in that pre- in the step S1
The value for each pixel being processed as in centralization processing, original image is between 0-255, at original image centralization
Reason, the value of each pixel in original image is revised as between -128 to 127.
3. the method for compressing image as claimed in claim 1 or 2 encrypted based on subband, it is characterised in that in the step S4
Parameter δ in formula (1)k, P1 and P2 determination method is as follows：
S4a：Initial key is set, and initial key length is 128bit, by initial key input Geffe generators obtain one it is pseudo- with
Machine Number Sequence；
S4b：Then step S4a is obtained into pseudo-random number sequence by Hash functional operation and obtains new pseudorandom number sequence, at this
8 are often taken to obtain a key stream currency δ in new pseudorandom number sequencekValue；
S4c：According to obtained key stream currency δkValue obtain prime P 1 and P2 by being calculated as below：
1) prime number 2 will be removed in the prime number less than 256, ascending be arranged in order of remaining prime number is then formed into table of primes；
2) calculated according to formula (2)：
WP1=δkmod30 (2)；
Wherein, WP1Value represent step 1) in table of primes position, WP1The prime number of pointed location is P1 value in table of primes；
Calculated according to formula (3)：
WP2=30+ δkmod23 (3)；
Wherein, WP2Value represent step 1) in table of primes position, WP2The prime number of pointed location is P2 value in table of primes.
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| JP2000032458A (en) * | 1998-07-07 | 2000-01-28 | Ricoh Co Ltd | Image compression method |
| CN1527249A (en) * | 2003-09-25 | 2004-09-08 | 南京邮电学院 | Quick enciphering method and device for wavelet image |
| CN101360242A (en) * | 2008-09-22 | 2009-02-04 | 西安电子科技大学 | Tag-tree encoding method based on JPEG2000 |
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