CN102938841A - Method for hiding information in bearing image, image quality evaluation method and information transmission method - Google Patents
Method for hiding information in bearing image, image quality evaluation method and information transmission method Download PDFInfo
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Abstract
The invention discloses a method for hiding information in a bearing image. The method comprises an information hiding step at an image sending end and an information extraction step at an visual receiving end, wherein the information hiding step comprises a bearing image preprocessing step, and a step of hiding information bits by using the preprocessed bearing image; and the information extraction step adopts a process inverse to the information hiding step to implement extraction of the information bits. Meanwhile, the invention also provides an image quality evaluation method and an information transmission method implemented by adopting the information hiding method. By adopting the methods, the compression resistance of hidden information in the bearing image is improved, the information amount of information which can be hidden is further increased, and objective assessment of picture quality and secrecy transmission of information are realized.
Description
Technical field
The present invention relates to a kind of method that in load image, hides Info, also relate to simultaneously a kind of image quality evaluating method of this hidden method and information transferring method that this hidden method of employing utilizes image of adopting.
Background technology
Development along with science and technology, image resolution ratio is more and more higher, and the data volume of transmission is increasing, generally all adopts data compression technique to transmit, the status of spacecraft image compression and data transmission system is more outstanding, and is more and more important to the performance evaluation of image data transmission system.
Present most image compression algorithm all adopts the lossy compression method method to remove visual redundancy information, has sacrificed the partial information of information source after the compression.Directly reflected the performance of this algorithm and equipment through the picture quality after image compression algorithm and the compression device compression, therefore, image quality evaluation becomes a problem that merits attention.Simultaneously, the method also can be applied to strengthen the aspects such as fault-tolerance of picture quality, raising image coding and decoding algorithm.
Image quality evaluation can be divided into subjective evaluation method and method for objectively evaluating on method, the former is with percipient subjective feeling evaluation object picture quality.Present research is take the latter as main, and the latter weighs picture quality according to quantizating index or the parameter of model.
Y-PSNR is added up and average computation based on the image pixel gray value, is the index of the gauge signal distortion commonly used.Although may be with the mass formation of subjective perception during to parts of images or video quality evaluation larger deviation, PSNR remains effective to most image quality evaluations.Estimated in the world more than 10 and planted the quality evaluation model, finally do not determined a kind of model as master pattern.Main cause is the angle from statistics, and the result that these models are obtained and PSNR be significantly difference not.Therefore, generally believe that both at home and abroad PSNR still is significant reference index of image quality evaluation.But the method needs original image evaluation, and counting in the biography system at real image does not have original image, utilizes the method to estimate.
Traditional image compression quality evaluation method is mainly used in design phase, experimental stage, namely in the situation that can obtain original image and use.In the situation that lack original image, just can't use after being transferred to ground such as the image that obtains when spacecraft through the spacecraft data compression transmission system, because ground can't obtain original image, can only obtain the image that decompresses and recover through behind the transmission.Therefore, image compression quality is carried out when estimating in ground, mainly carries out subjective assessment, perhaps objective evaluation is carried out in the characteristic parameter of the image that receives itself, both can't contrast with former figure, also can't draw the objective evaluation index (such as Y-PSNR (PSNR).
Application number: CN200810191796.8, title: a kind of star-loaded optical remote sensing image compression quality is carried out Appraising Methods, characteristic for satellite sensor generates analog image, adopt objective evaluation be main, subjective assessment be auxiliary integrated approach comprehensively, system, estimate image compression quality targetedly, made up the integral framework that star-loaded optical remote sensing image compression quality is estimated.But this evaluation method can only be carried out subjective evaluation to the image itself that receives, and can't accomplish original image and the direct comparative evaluation who receives picture characteristics.
Application number: CN201210178979.2, this disclosure of the invention a kind of image transmitting quality evaluating method, the method has mainly solved the difficult problem that traditional evaluation method can't realize the contrast of two width of cloth image features, greatly improve the objectivity to the image transmitting quality evaluation of image data transmission system, avoided the problem that only depends on subjective assessment to bring.But the method is characteristic parameter to be hidden in do not compress transmission in the original image, or characteristic parameter is hidden in the data after the original image compression transmits, the Y-PSNR between image and the original image but receiving terminal can't be restored.
Summary of the invention
Technology of the present invention is dealt with problems and is: provide a kind of method that hides Info on the one hand in load image, improved the anti-compression properties that hides Info in the load image, and further improved the amount of information that can hide Info.A kind of image quality evaluating method also is provided on the other hand, the index parameter of image can be hidden in the image, and realized evaluation to picture quality at the image receiving terminal by the comparison to index parameter before and after the image transmitting.Simultaneously, also provide a kind of information transferring method that utilizes image, the hiding transmission of the information that can realize in image.
Technical solution of the present invention is:
One aspect of the present invention discloses a kind of method that hides Info in load image, comprise the Information hiding step of image transmitting terminal and the information extraction step of image receiving terminal:
Described Information hiding step comprises:
The load image preliminary treatment:
1) be that the load image P of M * N is divided into size as the image block Pi of the non-overlapping copies of m * n by row or column take the Z-shaped scanning sequency with described size, wherein, M, N, m, n are even number, i=1,2 ..., L, L=(M * N)/(m * n);
2) abscissa and the ordinate with each location of pixels coordinate among the described image block Pi carries out respectively mould two computings, if mould two operation results of abscissa and ordinate equate, then the pixel with this position coordinates is classified as set A, otherwise the pixel of this position coordinates is classified as set B;
3) for each described image block Pi, poor statistic T x as this described image block Pi with the pixel value sum in the described set A and the pixel value sum in the described set B, and calculate respectively the statistic T x of all image block Pi, with peaked absolute value in the resulting statistic as maximum statistics absolute value Tmax;
4) adjust the pixel value of each described image block Pi:
If the statistic T x of described image block is more than or equal to-T1 and less than or equal to T1, then the pixel value of described image block remains unchanged, wherein, T1 is the positive integer value less than Tmax;
If the statistic T x of described image block is greater than T1, the pixel in then will the set A of this described image block adds a positive integer K1, and the pixel in the set B deducts a positive integer K1, and wherein, K1=(T1+R1)/(m * n), wherein, R1 is positive integer;
If the statistic T x of described image block is less than-T1, the pixel in then will the set A of this described image block deducts a positive integer K1, and the pixel in the set B adds a positive integer K1;
Adjust successively each described image block Pi and recomputate respectively and obtain statistic T y, finish described image pre-treatment step;
Information bit is hidden:
With 0 bit value in the binary sequence to be hidden Info, adopt following process to be hidden among the described pretreated image block Pi:
If the statistic T y of described image block Pi in scope (T1, T1), then keeps the pixel value of this image block constant;
If the statistic T y of described image block Pi greater than T1, then adds the pixel in the set A of described image block a positive integer K2, and the pixel in the set B of described image block is deducted a positive integer K2;
If described Ty then deducts the pixel in the set A of described image block a positive integer K2, and the pixel in the set B of described image block is added a positive integer K2 less than-T1; Wherein, K2=(T2+R2)/(m * n), T2=Tmax-T1 is positive integer, and R2 is positive integer;
With 1 bit value in the binary sequence to be hidden Info, adopt following process to be hidden among the described pretreated image block Pi:
If the statistic T y of described image block Pi then keeps the pixel value of image block constant greater than described threshold value T1 or less than-T1;
If the statistic T y of described image block Pi more than or equal to 0 and less than or equal to T1, then adds the pixel in the set A of described image block a positive integer K1, and the pixel in the described set B is deducted a positive integer K1;
If the statistic T y of described image block Pi then deducts the pixel in the set A of described image block a positive integer K1, and the pixel in the set B is added a positive integer K1 more than or equal to-T1 and less than 0;
Information bit extracts:
Receive load image and by step 1) load image that receives is reclassified as the image block Wi of the non-overlapping copies of m * n, i=1,2 ..., L, L=(M * N)/(m * n);
According to described step 2) set C and described mould two operation result anisochrouous set D when obtaining described mould two operation results and equating;
According to described step 3) obtain the statistic T z of each described image block Wi;
Distributed area according to described statistic T z extracts 0 bit value and 1 bit value;
Recover the described binary sequence that hides Info according to described 0 bit value that extracts and 1 bit value.
Further, in the above-mentioned method that hides Info, described hiding Info is the index parameter of described load image, and described index parameter comprises characteristic parameter and/or the Y-PSNR of described load image, and described characteristic parameter comprises average, variance and the entropy that holds image.
The present invention discloses a kind of image quality evaluating method that adopts the above-mentioned method that hides Info on the other hand, may further comprise the steps:
The original image that is concealed with described index parameter is sent to the image receiving terminal;
Extract in the described original image the described index parameter of hiding at the image receiving terminal, and the index parameter of computed image receiving terminal original image again;
Utilize index parameter and the described index parameter that recomputates of described extraction to compare, finish in the evaluation of image receiving terminal to original image.
Further, in above-mentioned image quality evaluating method, the described original image that is concealed with index parameter sends to the image receiving terminal after overcompression.
The present invention also provides a kind of information transferring method that utilizes image, and the above-mentioned method that hides Info of described information is hidden in image and extracted.
The present invention compared with prior art has following advantage:
The method that hides Info in load image of the present invention is according to the characteristic distributions of image pixel value, can realize information bit is hidden in load image by preliminary treatment and the hiding step of information bit to load image, adopt this method be concealed with information bit load image can be on the mass formation impact of image, and overcome in the prior art based on dct transform and less based on the hiding capacity of the Information hiding scheduling algorithm of wavelet transformation, along with fast the determining of increase algorithm performance decline of hiding capacity.Simultaneously can be because can not causing after the embedding information the irreversible destruction of load image yet, and guaranteed quality at image receiving terminal load image.
Image quality evaluating method of the present invention can be hidden into the Characteristic of Image parameter in the load image, and extract at receiving terminal, thereby realized utilizing the parameters such as PSNR to the quality evaluation of load image at receiving terminal, overcome the deficiency that only can carry out at receiving terminal subjective quality assessment in the prior art to image.And saved overhead at image transmission/reception two ends individual transmission image features,
Simultaneously, the information transferring method that utilizes image of the present invention, also can be with information bit as security information waiting for transmission, with the method that hides Info as the coding that information bit is utilized the load image gray value, with comparing of prior art, the load image quality is unaffected, and the load image anti-compression properties behind the bit that hides Info is good, and can effectively extract hiding information bit.
Description of drawings
Fig. 1 is flow chart of the present invention;
Fig. 2 is image block pixel set division figure;
Fig. 3 is that block size is the statistics distribution of 8 * 8 Lena image;
Fig. 4 is that block size is 8 * 8 Lena image statistics displacement;
Fig. 5 distributes for Lena image statistics after embedding information bit;
Fig. 6 is the close carrier image statistics distribution that contains of being compressed to a certain extent.
Embodiment
Below just by reference to the accompanying drawings the present invention is done further introduction.
Be illustrated in figure 1 as, the method that hides Info in load image may further comprise the steps:
At first, carry out the load image preliminary treatment, this preprocessing process is specific as follows:
1). the load image P that with size is M * N is divided into size as the image block Pi of the non-overlapping copies of m * n by row or column take the Z-shaped scanning sequency, wherein, and M, N, m, n are even number, i=1,2 ..., L, L=(M * N)/(m * n);
2). abscissa and the ordinate of each location of pixels coordinate among the image block Pi are carried out respectively mould two computings, if mould two operation results of abscissa and ordinate equate, then with this position coordinates pixel be classified as set A, otherwise with this position coordinates pixel be classified as set B.As shown in Figure 2, take 8 * 8 image block as example.After pixel in the image block carried out mould two computings, location of pixels indicated "+" and "-" and represents that the pixel of this location of pixels belongs to respectively set A and set B.
3). with the difference of the pixel value sum in the set A of each image block Pi and the pixel value sum in the set B statistic T x as this image block Pi, statistic T x can calculate by following formula:
Wherein, a
i, i=1,2 ..., location of pixels is labeled as the pixel of "+", b among m * n/2 correspondence image piece pixel set division figure
i, i=1,2 ..., the corresponding poor pixel that location of pixels among the figure is labeled as "-" of m * n/2.
According to following formula, calculate successively the statistic T x of each image block Pi, and to make the maximum of statistic absolute value be Tmax.Take Fig. 3 as example, can find out that size is the statistics distribution that Lena gray level image that 512 * 512 each pixel adopt 8bit to represent obtains through this step.
The fixing number because no matter interior all pixels of image block add deduct, the statistic of image block all remains unchanged, even pixel has change in various degree in the image block, the statistic of image block also changes very little, so statistic is embedded information bit as robust parameter, and can make the information bit of embedding can resist the non-malicious attacks such as JPEG2000 lossy compression method.
As seen from Figure 3, because the general pattern grey scale pixel value has correlation and the redundancy of very strong part, so the value major part of image statistics all concentrates on about 0 value.Can utilize this characteristic that statistic is carried out left and right sidesing shifting generation redundant space and embed secret information.
4). adjust the pixel value of each image block Pi
If the value of image block Pi statistic T x in the scope of threshold value T1, namely-T1≤Tx≤T1 in, then the image block pixel value remains unchanged.
If x is greater than described threshold value T1 for image block Pi statistic T, then the pixel that belongs in this image block in the set A is added a positive integer K1, and the pixel that belongs in this image block in the set B is deducted a positive integer K1.
If x is less than described threshold value-T1 for image block Pi statistic T, then the pixel that belongs in this image block in the set A is deducted a positive integer K1, and the pixel that belongs in this image block in the set B is added a positive integer K1.
After adjusting successively each image block Pi, recomputate the statistic T y of each image block, finish the preliminary treatment to load image.
Above-mentioned steps 4) detailed process is shown below:
The pixel that belongs to set A among the image block Pi is handled as follows:
The pixel that belongs to set B among the image block Pi is handled as follows:
Wherein, T1 is the threshold value of choosing, and T1 is positive integer, T1＜Tmax.Because may there be larger value (as shown in Figure 3) in the statistic of image block, namely Tmax may be larger.If directly embed information bit by the statistic of image block is carried out left and right sides translation, also owing to the restriction of statistic maximum of T max, meeting is so that the translational movement of statistic is excessive.Namely embed behind the information bit change amount of image block pixel value larger, cause after embedding information bit picture quality relatively poor.The present invention has reduced the change amount of most of image block pixel value by introducing threshold value T1, Effective Raise algorithm performance.K1 is positive integer in the above process, K1=(T1+R1)/(m * n), generally speaking 1≤K1≤10.Wherein, R1 is positive integer, and the size of R1 determines the robust performance of algorithm.According to following formula, take the Lena image as example, each the image block Pi after the Lena image divided by the 8X8 block of pixels calculates the statistic of each image block again by after revising corresponding pixel value and carrying out preliminary treatment, obtains statistic T y and distributes, as shown in Figure 4.
After the preliminary treatment of finishing load image, the information bit of binary sequence form can be hidden in the pretreated load image.
For 0 bit value in the information bit, if the statistic T y of image block Pi in scope (T1, T1), then keeps the pixel value of this image block constant; If Ty greater than described threshold value T1, then adds a positive integer K2 with the pixel that belongs to set A in the described image block, and the pixel that belongs to set B in the described image block is deducted a positive integer K2; If Ty less than described threshold value-T1, then deducts the pixel in the described set A positive integer K2, and the pixel in the described set B is added a positive integer K2; Wherein, K2=(T2+R2)/(m * n).T2=Tmax-T1 is positive integer, generally speaking 1≤K2≤10.R2 is positive integer, and the size of R2 also determines the robust performance of algorithm.
For 1 bit value in the information bit, if the statistic T y of load image piece Pi greater than described threshold value T1 or less than described threshold value-T1, then keeps the pixel value of this image block constant; If Ty more than or equal to 0 and less than or equal to described threshold value T1, then adds a positive integer K1 with the pixel that belongs in the described image block in the set A, and the pixel that belongs to set B in the described image block is deducted a positive integer K1; If Ty more than or equal to described threshold value-T1 and less than 0, then deducts the pixel in the described set A positive integer K1, and the pixel in the set B is added a positive integer K1;
Finish hiding of information bit by the pixel value of revising each image block Pi successively by above process, obtain containing the image block Wi of information bit, i=1,2 ..., L.Binary sequence to be hidden Info is corresponding one by one with pretreated image block Pi, and each image block Pi hides a bit.At last, by and step 1) in corresponding image block scanning sequency reconstructed picture piece Wi obtain the load image W that size is the hiding secret information bit of M * N.Take the Lena image as example, the statistics distribution of the Lena image behind the embedding information bit as shown in Figure 5 equally.As seen from Figure 5, after the Embedded Pointers parameter, the statistic of Lena image is divided for five zones, and wherein " bit 0 district " and " bit 1 district " to represent respectively the index parameter bit that embeds be " 0 " and " 1 ".White space between the bit area is Robust Interval.
Be concealed with the load image W of information bit after sending to the image receiving terminal, carry out extraction to information bit at the image receiving terminal.
When information bit is extracted when embedding 0 and 1 number, consider that simultaneously 0 mainly concentrates on bit 0 district, 1 mainly concentrates on the trend in bit 1 district, and the load image W statistics distribution that contains information bit again partition is come the information extraction bit.
The distribution map of statistic as shown in Figure 6 after the load image W that contains information bit is compressed to a certain extent.
As seen from Figure 6, if statistic is then extracted bit " 0 " in interval [x, x] or [z ,-y] or [y, z]; If statistic is then extracted bit " 1 " in interval [y ,-x] or [x, y];
Each image block produces a statistic, and each statistic can represent bit.Therefore, total embedding bit number equals the number of image block.That is to say, (M * N)/(bits of m * n), the secret information bit number is 1/ (m * n * 8) of the total bit number of carrier image to embedding capacity Cap=.Work as M=N=512, during m=n=8, can embed Cap=(512*512)/(8*8)=4096bits, information bit is 1/512 of the total bit number of load image.
Embodiment one
Above-mentioned information bit can be a kind of in need to Y-PSNR PSNR, average, variance and entropy to load image combination of and several parameters, these parameters about load image can be hidden in the load image by said method, and send to the image receiving terminal, by with the recovery of this parameter at the image receiving terminal, can realize the evaluation to the load image quality.Therefore, in embodiments of the present invention, further provide a kind of image quality evaluating method that utilizes said method, in the method, above-mentioned information bit is the index parameter of load image, then can utilize the index parameter of transmission front and back that picture quality is estimated.
Index parameter comprise Y-PSNR and characteristic parameter one or both.
If image transmitting terminal original image is X (size is M*N*8), gray value is X (i, j); The original image that the image receiving terminal recovers is Y (size is M*N*8), and gray value is Y (i, j).
The mean square error of X and Y:,
Y-PSNR:
PSNR can set according to system requirements, generally more than 30dB.
The average of image
The variance of image
The calculating of the entropy of image then is content known in those skilled in the art.
After adopting the above-mentioned method that hides Info to be hidden into original image the index parameter, be transferred to the image receiving terminal.
The image receiving terminal is further according to above-mentioned information bit extracting method, extracts the index parameter before the image transmitting from the image that receives.And further calculate the index parameter of the image receive at the image receiving terminal.And transmission index parameter successively compared one to one, finish the evaluation to picture quality.
Before transmission is concealed with the image of index parameter, can also compresses this image, and after the image receiving terminal decompresses to image, extract again index parameter.After adopting the described method of the embodiment of the invention to be hidden in information bit in the load image, all pixels fixing number that no matter adds deduct in the image block, the statistic of image block all remains unchanged, even pixel has change in various degree in the image block, the statistic of image block also changes very little.After the robustness of the statistic of the image block of utilization of the present invention embeds information bit, image block through non-malicious attacks such as JPEG2000 lossy compression method after the statistic of image block change very littlely, still can correctly extract hiding information bit.Therefore, the present invention has good anti-compression properties.
Embodiment two
Adopt the present invention that the process that information bit is hidden into load image can further be regarded as again at the cataloged procedure of image transmitting terminal to load image, realize coding to each information bit in the mode that the load image gray value is adjusted, and adopt corresponding interpretation method to realize the extraction of information bit at receiving terminal, can realize utilizing load image to the secrecy transmission of information bit
Therefore in the present embodiment, adopt the Information hiding step that information bit to be encrypted is hidden in the load image at the image transmitting terminal, adopt the information extraction step to extract information bit at the image receiving terminal, thereby can realize the secrecy transmission of the described information bit of the present embodiment.
Be used for when adopting the Information hiding step that information bit is hidden, the pixel value that changes each image block in the load image is less to the carrier image quality influence.The present invention gathers division with the pixel in the image block, subtracts the embedding that a very little positive integer is finished information bit by the pixel in two set is summed up respectively.Therefore, the present invention's change amount to the image block pixel after embedding information bit is very little, and the change amount is evenly distributed, and is less on the impact of picture quality.In addition, information bit of the present invention is hidden capacity C ap=(M * N)/(bits of m * n) is hidden amount and increases when tile size m and n reduce, can regulate hiding capacity according to performance requirement in the practical application, and algorithm has good practicality.
The unspecified part of the present invention belongs to general knowledge as well known to those skilled in the art.
Claims (5)
1. a method that hides Info in load image comprises the Information hiding step of image transmitting terminal and the information extraction step of image receiving terminal, it is characterized in that:
Described Information hiding step comprises:
The load image preliminary treatment:
1) be that the load image P of M * N is divided into size as the image block Pi of the non-overlapping copies of m * n by row or column take the Z-shaped scanning sequency with described size, wherein, M, N, m, n are even number, i=1,2 ..., L, L=(M * N)/(m * n);
2) abscissa and the ordinate with each location of pixels coordinate among the described image block Pi carries out respectively mould two computings, if mould two operation results of abscissa and ordinate equate, then the pixel with this position coordinates is classified as set A, otherwise the pixel of this position coordinates is classified as set B;
3) for each described image block Pi, poor statistic T x as this described image block Pi with the pixel value sum in the described set A and the pixel value sum in the described set B, and calculate respectively the statistic T x of all image block Pi, with peaked absolute value in the resulting statistic as maximum statistics absolute value Tmax;
4) adjust the pixel value of each described image block Pi:
If the statistic T x of described image block is more than or equal to-T1 and less than or equal to T1, then the pixel value of described image block remains unchanged, wherein, T1 is the positive integer value less than Tmax;
If the statistic T x of described image block is greater than T1, the pixel in then will the set A of this described image block adds a positive integer K1, and the pixel in the set B deducts a positive integer K1, and wherein, K1=(T1+R1)/(m * n), wherein, R1 is positive integer;
If the statistic T x of described image block is less than-T1, the pixel in then will the set A of this described image block deducts a positive integer K1, and the pixel in the set B adds a positive integer K1;
Adjust successively each described image block Pi and recomputate respectively and obtain statistic T y, finish described image pre-treatment step;
Information bit is hidden:
With 0 bit value in the binary sequence to be hidden Info, adopt following process to be hidden among the described pretreated image block Pi:
If the statistic T y of described image block Pi in scope (T1, T1), then keeps the pixel value of this image block constant;
If the statistic T y of described image block Pi greater than T1, then adds the pixel in the set A of described image block a positive integer K2, and the pixel in the set B of described image block is deducted a positive integer K2;
If described Ty then deducts the pixel in the set A of described image block a positive integer K2, and the pixel in the set B of described image block is added a positive integer K2 less than-T1; Wherein, K2=(T2+R2)/(m * n), T2=Tmax-T1 is positive integer, and R2 is positive integer;
With 1 bit value in the binary sequence to be hidden Info, adopt following process to be hidden among the described pretreated image block Pi:
If the statistic T y of described image block Pi then keeps the pixel value of image block constant greater than described threshold value T1 or less than-T1;
If the statistic T y of described image block Pi more than or equal to 0 and less than or equal to T1, then adds the pixel in the set A of described image block a positive integer K1, and the pixel in the described set B is deducted a positive integer K1;
If the statistic T y of described image block Pi then deducts the pixel in the set A of described image block a positive integer K1, and the pixel in the set B is added a positive integer K1 more than or equal to-T1 and less than 0;
Information bit extracts:
Receive load image and by step 1) load image that receives is reclassified as the image block Wi of the non-overlapping copies of m * n, i=1,2 ..., L, L=(M * N)/(m * n);
According to described step 2) set C and described mould two operation result anisochrouous set D when obtaining described mould two operation results and equating;
According to described step 3) obtain the statistic T z of each described image block Wi;
Distributed area according to described statistic T z extracts 0 bit value and 1 bit value;
Recover the described binary sequence that hides Info according to described 0 bit value that extracts and 1 bit value.
2. the method that in load image, hides Info as claimed in claim 1, it is characterized in that, described hiding Info is the index parameter of described load image, described index parameter comprises characteristic parameter and/or the Y-PSNR of described load image, and described characteristic parameter comprises average, variance and the entropy of load image.
3. one kind is adopted image quality evaluating method claimed in claim 2, it is characterized in that may further comprise the steps:
The original image that is concealed with described index parameter is sent to the image receiving terminal;
Extract in the described original image the described index parameter of hiding at the image receiving terminal, and the index parameter of computed image receiving terminal original image again;
Utilize index parameter and the described index parameter that recomputates of described extraction to compare, finish in the evaluation of image receiving terminal to original image.
4. image quality evaluating method as claimed in claim 3, it is characterized in that: the described original image that is concealed with index parameter sends to the image receiving terminal after overcompression.
5. an information transferring method that utilizes image is characterized in that, the described method of described information employing claim 1 is hidden in image and extracted.
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