CN105282544A - Ultra high definition video image fuzziness testing method and system - Google Patents
Ultra high definition video image fuzziness testing method and system Download PDFInfo
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Abstract
The invention relates to an ultra high definition video image fuzziness testing method and system. The ultra high definition video image fuzziness testing method includes the steps: inputting an ultra high definition video image sequence; inserting checkers in every frame of image of the ultra high definition video image sequence in order; encoding the ultra high definition video image sequence with inserted checkers and converting the ultra high definition video image sequence as a discrete ultra high definition video image sequence; calculating the fuzziness and the total fuzziness of every grade for every frame of image of the discrete ultra high definition video image sequence; according to the fuzziness of every grade of all frames of images, calculating the fuzziness of every grade of the ultra high definition video image sequence; and according to the total fuzziness of all frames of images, calculating the total fuzziness of the ultra high definition video image sequence. The ultra high definition video image fuzziness testing method is simple and is more visual in the test result.
Description
Technical field
The present invention relates to digital picture quality field tests, be specifically related to a kind of method of testing and system of ultra high-definition video image ambiguity.
Background technology
International Telecommunication Association issues ITU-RBT.2020 recommendation " parameter values of the program making of ultra high-definition television system and international exchange " in August, 2012, defines ultra high-definition display format UHDTV1 (3840 × 2160) and the UHDTV2 (7680 × 4320) of two levels.The 4K ultra high-definition TV now commercially sold, generally refers to that the physical resolution of screen reaches 3840 × 2160 (UHD), and can receive, the TV of corresponding resolution vision signal of decoding, show.The resolution of 4K ultra high-definition TV is full HD (FHD.1920 × 1080) 4 times, is about 9 times of high definition (HD.1280 × 720).
Ultra high-definition TV can provide " on the spot in person " sense stronger than HDTV (High-Definition Television) and the sense of reality for user, its extremely clear image quality is the also inevitable increase along with coding, storage, transmission, decoding complex degree while bringing enjoyment to user, and in these processes, introduce image quality damage, these damages are embodied in the aspects such as image definition decline, contrast reduction, gradation uniformity variation.
The resolution chart being conventionally used to test pattern display quality indices is static mostly, and such as definition, contrast, uniformity etc., can not be used for the test of video image quality.Usually, for the video containing compound movement scene, in order to obtain higher picture quality, need to adopt higher encoder bit rate, wider transmission band and larger memory space when encoding, transmitting and storing, and many times in order to saving resource, higher compression ratio can be adopted to video, and evitablely must cause image fault.To ultra high-definition image/video, this problem is more outstanding, its high definition of ultra high-definition image is is cost with its huge code check, this means the convenience in order to store and transmit and validity, just must must reduce code check as far as possible by compressed encoding, and in order to reach required bit rate, some image high-frequency informations of just having to give up, thus create the picture quality distortion that especially generation of definition aspect is larger, cause image blurring.
Image definition and ambiguity are the descriptions to picture quality the pros and cons, and the former focuses on description result, and the latter focuses on description process.Representational that mainly detect based on the definition of image border and based on macroblock boundaries the ambiguity of the method for present evaluation and test video image clarity or ambiguity detects, these methods not only computational methods are complicated, and need by result of calculation and subjective evaluation result are carried out correlation statistics, workload is huge, and statistics is also directly perceived not.
Summary of the invention
Technical problem to be solved by this invention is to provide a kind of ultra high-definition video image ambiguity method of testing and system, and method of testing is simple, and test result is more directly perceived.
The technical scheme that the present invention solves the problems of the technologies described above is as follows: a kind of ultra high-definition video image ambiguity method of testing, comprises the following steps:
S1, input ultra high-definition sequence of video images;
S2, inserts in each two field picture in ultra high-definition sequence of video images successively by gridiron pattern;
S3, encodes to inserting tessellated ultra high-definition sequence of video images and is converted to discrete ultra high-definition sequence of video images;
S4, calculates the ambiguity of each rank and total ambiguity to each two field picture in discrete ultra high-definition sequence of video images;
S5, calculates the ambiguity of each rank of ultra high-definition sequence of video images according to the ambiguity of each rank of all two field pictures, and calculates total ambiguity of ultra high-definition sequence of video images according to total ambiguity of all two field pictures.
The invention has the beneficial effects as follows: by inserting gridiron pattern frame by frame in sequence of video images, and then carry out encoding and sliding-model control, make the scale feature because gridiron pattern itself possesses, and the subregion effect produced after coding, and the image blur produced because of coding is directly shown very intuitively in Ultra-high-definitiodisplay display device, make the relevance of subjective evaluation and test and objective measurement comparatively directly perceived.
On the basis of technique scheme, the present invention can also do following improvement:
Further, described step S2 is specially: radom insertion 1 ~ 4 gridiron pattern in each two field picture of ultra high-definition sequence of video images.
Further, described gridiron pattern is the integral multiple of 8 with the pixel count of vertical direction in the horizontal direction, and described tessellated length and width are not more than 1/6th of each two field picture length and width respectively.
Adopt the beneficial effect of above-mentioned further scheme to be: because the gridiron pattern area inserted in video image is little, quantity is few, and insertion position is random, therefore, the complexity for former ultra high-definition sequence of video images coding can not affect very large.
Further, described step S4 is:
S41, intercepts each two field picture in discrete ultra high-definition sequence of video images and is coated with tessellated image, as test cell;
S42, the brightness value of each pixel in read test subelement, and subtract each other with the brightness value of gridiron pattern correspondence position pixel, obtain absolute difference, the ratio of the maximum grey level quantization value of absolute difference and image is departed from percentage as the brightness testing each pixel in subelement; Described test cell is made up of multiple equally distributed test subelement;
S43, depart from percentage according to brightness and add up other pixel quantity of each blur level in the test subelement of each two field picture, and the ratio that the pixel quantity calculating each rank is shared in whole test subelement, obtain the ambiguity of testing each rank of subelement, and will the total ambiguity of ambiguity summation as test subelement of top n rank be positioned at, N is less than the rank sum of test subelement;
S44, using the ambiguity of the mean value of the ambiguity of each rank of test cell as each rank of ultra high-definition sequence of video images current frame image, and total ambiguity of all test subelements is averaged as total ambiguity of ultra high-definition sequence of video images current frame image.
The beneficial effect of above-mentioned further scheme is adopted to be: the blurring effect being presented rule by the test cell after coding with the form of testing subelement, part black patch in test subelement and white block become grey block, image blur can be presented very intuitively, simultaneously with to utilize the brightness testing subelement to depart from the fog-level dimension of the test subelement of percentage expression consistent, the degree of association is larger.
Further, in described step S43 each rank comprise that one-level is fuzzy, secondary is fuzzy, three grades fuzzy and not fuzzy; Wherein, it is one-level litura that brightness departs from the pixel that percentage is greater than 50%, it is secondary litura that brightness departs from the pixel of percentage between 30% ~ 50%, it is three grades of lituras that brightness departs from the pixel of percentage between 10% ~ 30%, and the pixel being less than 10% is not litura.
Further, being implemented as of described step S5:
The ambiguity of each rank of all two field pictures obtained is averaged, obtains the ambiguity of each rank of ultra high-definition sequence of video images;
And total ambiguity of all two field pictures obtained is averaged, obtain total ambiguity of ultra high-definition sequence of video images.
The beneficial effect of above-mentioned further scheme is adopted to be: by averaging as the ambiguity of ultra high-definition sequence of video images to the ambiguity of all two field pictures, to make the test value of ambiguity more accurate.
The another kind of technical scheme that the present invention solves the problems of the technologies described above is as follows: a kind of ultra high-definition video image ambiguity test macro, comprising:
Input module, for inputting ultra high-definition sequence of video images;
Insert module, for inserting in each two field picture in ultra high-definition sequence of video images successively by gridiron pattern;
Coding and modular converter, for encoding to inserting tessellated ultra high-definition sequence of video images and be converted to discrete ultra high-definition sequence of video images;
First computing module, for calculating the ambiguity of each rank and total ambiguity to each two field picture in discrete ultra high-definition sequence of video images;
Second computing module, the ambiguity for each rank according to all two field pictures calculates the ambiguity of each rank of ultra high-definition sequence of video images, and calculates total ambiguity of ultra high-definition sequence of video images according to total ambiguity of all two field pictures.
The invention has the beneficial effects as follows: in sequence of video images, insert gridiron pattern by utilizing insert module frame by frame, and then carry out encoding and sliding-model control, make the scale feature because gridiron pattern itself possesses, and the subregion effect produced after coding, and the image blur produced because of coding is directly shown very intuitively in Ultra-high-definitiodisplay display device, make the relevance of subjective evaluation and test and objective measurement comparatively directly perceived.
On the basis of technique scheme, the present invention can also do following improvement:
Further, described insert module comprises radom insertion unit, for radom insertion 1 ~ 4 gridiron pattern in each two field picture of ultra high-definition sequence of video images, described gridiron pattern is the integral multiple of 8 with the pixel count of vertical direction in the horizontal direction, and described tessellated length and width are not more than 1/6th of each two field picture length and width respectively.
Adopt the beneficial effect of above-mentioned further scheme to be: because the gridiron pattern area inserted in video image is little, quantity is few, and insertion position is random, therefore, the complexity for former ultra high-definition sequence of video images coding can not affect very large.
Further, described first computing module comprises:
Interception unit, is coated with tessellated image, as test cell for intercepting each two field picture in discrete ultra high-definition sequence of video images;
First computation subunit, for the brightness value of pixel each in read test subelement, and subtract each other with the brightness value of gridiron pattern correspondence position pixel, obtain absolute difference, the ratio of the maximum grey level quantization value of absolute difference and image is departed from percentage as the brightness testing each pixel in subelement; Described test cell is made up of multiple equally distributed test subelement;
Second computation subunit, other pixel quantity of each blur level in the test subelement of each two field picture is added up for departing from percentage according to brightness, and the ratio that the pixel quantity calculating each rank is shared in whole test subelement, obtain the ambiguity of testing each rank of subelement, and will the total ambiguity of ambiguity summation as test subelement of top n rank be positioned at, N is less than the rank sum of test subelement;
3rd computation subunit, for the mean value of the ambiguity using each rank of test cell as the ambiguity of each rank of ultra high-definition sequence of video images current frame image, and total ambiguity of all test subelements is averaged as total ambiguity of ultra high-definition sequence of video images current frame image.
The beneficial effect of above-mentioned further scheme is adopted to be: the blurring effect being presented rule by the test cell after coding with the form of testing subelement, part black patch in test subelement and white block become grey block, image blur can be presented very intuitively, simultaneously with to utilize the brightness testing subelement to depart from the fog-level dimension of the test subelement of percentage expression consistent, the degree of association is larger.
Further, described second computing module comprises average calculation unit, and the ambiguity for each rank by all two field pictures obtained is averaged, and obtains the ambiguity of each rank of ultra high-definition sequence of video images;
And total ambiguity of all two field pictures obtained is averaged, obtain total ambiguity of ultra high-definition sequence of video images.
The beneficial effect of above-mentioned further scheme is adopted to be: by averaging as the ambiguity of ultra high-definition sequence of video images to the ambiguity of all two field pictures, to make the test value of ambiguity more accurate.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of a kind of ultra high-definition video image of the present invention ambiguity method of testing;
Fig. 2 is the schematic flow sheet of the embodiment of step S4 in the present invention;
Fig. 3 is the structural representation of a kind of ultra high-definition video image of the present invention ambiguity test macro;
Fig. 4 is the structural representation of insert module in the present invention;
Fig. 5 is the structural representation of the first computing module in the present invention;
Fig. 6 is the structural representation of the second computing module in the present invention;
Fig. 7 is the structural representation of coding and modular converter in the present invention;
Fig. 8 is the tessellated schematic diagram chosen in the embodiment of the present invention;
Fig. 9 is the two field picture in the ultra high-definition video sequence chosen in the embodiment of the present invention;
Figure 10 is the result figure after inserting gridiron pattern in the two field picture in the embodiment of the present invention in ultra high-definition sequence of video images;
Figure 11 is to the result figure inserted after the result graph code after gridiron pattern in the embodiment of the present invention;
Figure 12 be intercept in result figure in encoded in the embodiment of the present invention be coated with tessellated image section.
Embodiment
Be described principle of the present invention and feature below in conjunction with accompanying drawing, example, only for explaining the present invention, is not intended to limit scope of the present invention.
As shown in Figure 1, be a kind of ultra high-definition video image of the present invention ambiguity method of testing, comprise the following steps:
S1, input ultra high-definition sequence of video images;
Wherein, ultra high-definition sequence of video images can be chosen with reference to GB " GB/T31001-2014 high definition digital television subjective assessment test pattern ", and such as, selecting video is " leaf swung with the wind ", and Fig. 9 is a wherein two field picture.
S2, inserts in each two field picture in ultra high-definition sequence of video images successively by the gridiron pattern made;
Wherein, gridiron pattern is black and white gridiron pattern array, as shown in Figure 8, in gridiron pattern, each tessellated size is 1 pixel * 1 pixel, its in the horizontal direction with the integral multiple that the pixel count of vertical direction is all 8, and described tessellated length and width are not more than 1/6th of each two field picture length and width respectively;
The gridiron pattern quantity inserted in each two field picture is 1 ~ 4, and the position that gridiron pattern occurs in each two field picture generates with random pseudo-random function, i.e. radom insertion; Insert a tessellated two field picture as shown in Figure 10;
S3, encoding frame by frame and sliding-model control to inserting tessellated ultra high-definition sequence of video images, obtaining discrete ultra high-definition sequence of video images; Be specially: adopt coding as shown in Figure 7 and modular converter to complete the work of coding and discrete conversion.First, tessellated ultra high-definition sequence of video images will be inserted be loaded in ultra high-definition measuring signal generator and carry out sequence broadcasting, then with ultra high-definition encoding device, the image inserted in tessellated ultra high-definition sequence of video images is encoded frame by frame, image after coding as shown in figure 11, then use the ultra high-definition sequence of video images after ultra high-definition collecting device capturing and coding, finally in graphics workstation, convert the ultra high-definition video image after coding to discrete ultra high-definition image sequence;
S4, calculates the ambiguity of each rank and total ambiguity to each two field picture in discrete ultra high-definition sequence of video images;
As shown in Figure 2, S4 is specially:
S41, intercepts each two field picture in discrete ultra high-definition video image and is coated with tessellated image, as test cell, as shown in figure 12;
S42, the brightness value of each pixel in read test subelement, and subtract each other with the brightness value of gridiron pattern correspondence position pixel, obtain absolute difference, the ratio of the maximum grey level quantization value of absolute difference and image is departed from percentage as the brightness testing each pixel in subelement; Described test cell is made up of multiple equally distributed test subelement; Maximum grey level quantization value refers to the color depth of black and white image mid point, relevant with the figure place of the color space, and value is 2
k-1, k is the color space figure place of image, and such as: 8 color spaces, maximum grey level quantization value is 255; 10 color spaces, maximum grey level quantization value is 1023.
Such as, the sequence of video images chosen is " leaf swung with the wind ", chooses the test subelement of 8x8 pixel in test cell, and after above-mentioned steps process, in the test subelement of a two field picture, to depart from percentage as shown in table 1 in the brightness of each pixel:
Table 18x8 tests subelement luminance deviation percentage
| 50％ | 36％ | 40％ | 32％ | 35％ | 36％ | 42％ | 57％ |
| 37％ | 39％ | 18％ | 17％ | 15％ | 21％ | 32％ | 56％ |
| 40％ | 16％ | 7％ | 0％ | 0％ | 3％ | 22％ | 67％ |
| 29％ | 22％ | 0％ | 0％ | 0％ | 0％ | 16％ | 65％ |
| 38％ | 10％ | 0％ | 0％ | 0％ | 0％ | 17％ | 69％ |
| 31％ | 28％ | 0％ | 0％ | 0％ | 3％ | 21％ | 62％ |
| 46％ | 27％ | 26％ | 15％ | 18％ | 22％ | 34％ | 61％ |
| 42％ | 47％ | 32％ | 34％ | 32％ | 36％ | 41％ | 52％ |
S43, depart from percentage according to brightness and add up other pixel quantity of each blur level in the test subelement of each two field picture, and the ratio that the pixel quantity calculating each rank is shared in whole test subelement, obtain the ambiguity of testing each rank of subelement, and will the total ambiguity of ambiguity summation as test subelement of top n rank be positioned at, N is less than the rank sum of test subelement;
Brightness departs from the fog-level that percentages have expressed sequence of video images current frame image, numerical value is larger, represents that ambiguity is higher, carries out interval statistics to ambiguity by numerical values recited, divide rank, comprise that one-level is fuzzy, secondary is fuzzy, three grades fuzzy and not fuzzy; Wherein, it is one-level litura that brightness departs from the pixel that percentage is greater than 50%, it is secondary litura that brightness departs from the pixel of percentage between 30% ~ 50%, it is three grades of lituras that brightness departs from the pixel of percentage between 10% ~ 30%, and the pixel being less than 10% is not litura.
His-and-hers watches 1 draw after adding up, be arranged in the accounting of pixel count at whole test subelement in the ambiguity interval of each rank, one-level litura accounts for 14%, secondary litura accounts for 30%, three grades of lituras account for 31%, and unambiguous point accounts for 25%, N and gets 3, the litura proportion of first three grade is sued for peace, obtains total ambiguity of this test subelement;
S44, using the ambiguity of the mean value of the ambiguity of each rank of test cell as each rank of ultra high-definition sequence of video images current frame image, and total ambiguity of all test subelements is averaged as total ambiguity of ultra high-definition sequence of video images current frame image.
Such as: the one-level ambiguity of all test subelements in a test cell averaged, obtain the one-level ambiguity of sequence of video images current frame image, secondary ambiguity and three grades of ambiguityes in like manner draw; Then the ambiguity of first three rank of sequence of video images current frame image is sued for peace, obtain total ambiguity of sequence of video images current frame image;
S5, calculates the ambiguity of each rank of ultra high-definition sequence of video images according to the ambiguity of each rank of all two field pictures, and calculates total ambiguity of ultra high-definition sequence of video images according to total ambiguity of all two field pictures.Be specially:
The ambiguity of each rank of all two field pictures obtained is averaged, obtains the ambiguity of each rank of ultra high-definition video image; And total ambiguity of all two field pictures obtained is averaged, obtain total ambiguity of ultra high-definition sequence of video images.
Such as: this sequence of video images has 300 two field pictures, then the one-level ambiguity of this 300 two field picture is averaged, as the one-level ambiguity of this ultra high-definition sequence of video images, secondary ambiguity and three grades of ambiguityes in like manner can obtain, then by the one-level ambiguity of ultra high-definition sequence of video images, secondary ambiguity and three grades of ambiguity summations, obtain total ambiguity of ultra high-definition video image.
As shown in Figure 3, a kind of ultra high-definition video image ambiguity test macro, comprising:
Input module, for inputting ultra high-definition sequence of video images;
Insert module, for inserting in each two field picture in ultra high-definition sequence of video images successively by gridiron pattern;
Coding and modular converter, for encoding to inserting tessellated ultra high-definition sequence of video images and be converted to discrete ultra high-definition sequence of video images;
First computing module, for calculating the ambiguity of each rank and total ambiguity to each two field picture in discrete ultra high-definition sequence of video images;
Second computing module, the ambiguity for each rank according to all two field pictures calculates the ambiguity of each rank of ultra high-definition sequence of video images, and calculates total ambiguity of ultra high-definition sequence of video images according to total ambiguity of all two field pictures.
As shown in Figure 4, described insert module comprises radom insertion unit, for radom insertion 1 ~ 4 gridiron pattern in each two field picture of ultra high-definition sequence of video images, described gridiron pattern is the integral multiple of 8 with the pixel count of vertical direction in the horizontal direction, and described tessellated length and width are not more than 1/6th of each two field picture length and width respectively.
As shown in Figure 5, described first computing module comprises:
Interception unit, is coated with tessellated image, as test cell for intercepting each two field picture in discrete ultra high-definition sequence of video images;
First computation subunit, for the brightness value of pixel each in read test subelement, and subtract each other with the brightness value of gridiron pattern correspondence position pixel, obtain absolute difference, the ratio of absolute difference and maximum grey level quantization value is departed from percentage as the brightness testing each pixel in subelement; Described test cell is made up of multiple equally distributed test subelement;
Second computation subunit, other pixel quantity of each blur level in the test subelement of each two field picture is added up for departing from percentage according to brightness, and the ratio that the pixel quantity calculating each rank is shared in whole test subelement, obtain the ambiguity of testing each rank of subelement, and will the total ambiguity of ambiguity summation as test subelement of top n rank be positioned at, N is less than the rank sum of test subelement;
3rd computation subunit, for the mean value of the ambiguity using each rank of test cell as the ambiguity of each rank of ultra high-definition sequence of video images current frame image, and total ambiguity of all test subelements is averaged as total ambiguity of ultra high-definition sequence of video images current frame image.
As shown in Figure 6, described second computing module comprises average calculation unit, and the ambiguity for each rank by all two field pictures obtained is averaged, and obtains the ambiguity of each rank of ultra high-definition sequence of video images; Total ambiguity of all two field pictures obtained is averaged, obtains total ambiguity of ultra high-definition sequence of video images.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a ultra high-definition video image ambiguity method of testing, is characterized in that, comprise the following steps:
S1, input ultra high-definition sequence of video images;
S2, inserts in each two field picture in ultra high-definition sequence of video images successively by gridiron pattern;
S3, encodes to inserting tessellated ultra high-definition sequence of video images and is converted to discrete ultra high-definition sequence of video images;
S4, calculates the ambiguity of each rank and total ambiguity to each two field picture in discrete ultra high-definition sequence of video images;
S5, calculates the ambiguity of each rank of ultra high-definition sequence of video images according to the ambiguity of each rank of all two field pictures, and calculates total ambiguity of ultra high-definition sequence of video images according to total ambiguity of all two field pictures.
2. a kind of ultra high-definition video image ambiguity method of testing according to claim 1, it is characterized in that, described step S2 is specially: radom insertion 1 ~ 4 gridiron pattern in each two field picture of ultra high-definition sequence of video images.
3. a kind of ultra high-definition video image ambiguity method of testing according to claim 2, it is characterized in that, described gridiron pattern is the integral multiple of 8 with the pixel count of vertical direction in the horizontal direction, and described tessellated length and width are not more than 1/6th of each two field picture length and width respectively.
4. a kind of ultra high-definition video image ambiguity method of testing according to claim 1, it is characterized in that, described step S4 is:
S41, intercepts each two field picture in discrete ultra high-definition sequence of video images and is coated with tessellated image, as test cell;
S42, the brightness value of each pixel in read test subelement, and subtract each other with the brightness value of gridiron pattern correspondence position pixel, obtain absolute difference, the ratio of the maximum grey level quantization value of absolute difference and image is departed from percentage as the brightness testing each pixel in subelement; Described test cell is made up of multiple equally distributed test subelement;
S43, depart from percentage according to brightness and add up other pixel quantity of each blur level in the test subelement of each two field picture, and the ratio that the pixel quantity calculating each rank is shared in whole test subelement, obtain the ambiguity of testing each rank of subelement, and will the total ambiguity of ambiguity summation as test subelement of top n rank be positioned at, N is less than the rank sum of test subelement;
S44, using the ambiguity of the mean value of the ambiguity of each rank of test cell as each rank of ultra high-definition sequence of video images current frame image, and total ambiguity of all test subelements is averaged as total ambiguity of ultra high-definition sequence of video images current frame image.
5. a kind of ultra high-definition video image ambiguity method of testing according to claim 4, is characterized in that, each rank described in described step S43 comprises that one-level is fuzzy, secondary is fuzzy, three grades fuzzy and not fuzzy; Wherein, it is one-level litura that brightness departs from the pixel that percentage is greater than 50%, it is secondary litura that brightness departs from the pixel of percentage between 30% ~ 50%, it is three grades of lituras that brightness departs from the pixel of percentage between 10% ~ 30%, and the pixel being less than 10% is not litura.
6. a kind of ultra high-definition video image ambiguity method of testing according to claim 1, it is characterized in that, described step S5 is implemented as:
The ambiguity of each rank of all two field pictures obtained is averaged, obtains the ambiguity of each rank of ultra high-definition sequence of video images;
And total ambiguity of all two field pictures obtained is averaged, obtain total ambiguity of ultra high-definition sequence of video images.
7. a ultra high-definition video image ambiguity test macro, is characterized in that, comprising:
Input module, for inputting ultra high-definition sequence of video images;
Insert module, for inserting in each two field picture in ultra high-definition sequence of video images successively by gridiron pattern;
Coding and modular converter, for encoding to inserting tessellated ultra high-definition sequence of video images and be converted to discrete ultra high-definition sequence of video images;
First computing module, for calculating the ambiguity of each rank and total ambiguity to each two field picture in discrete ultra high-definition sequence of video images;
Second computing module, the ambiguity for each rank according to all two field pictures calculates the ambiguity of each rank of ultra high-definition sequence of video images, and calculates total ambiguity of ultra high-definition sequence of video images according to total ambiguity of all two field pictures.
8. a kind of ultra high-definition video image ambiguity test macro according to claim 7, it is characterized in that, described insert module comprises radom insertion unit, for radom insertion 1 ~ 4 gridiron pattern in each two field picture of ultra high-definition sequence of video images, described gridiron pattern is the integral multiple of 8 with the pixel count of vertical direction in the horizontal direction, and described tessellated length and width are not more than 1/6th of each two field picture length and width respectively.
9. a kind of ultra high-definition video image ambiguity test macro according to claim 7, it is characterized in that, described first computing module comprises:
Interception unit, is coated with tessellated image, as test cell for intercepting each two field picture in discrete ultra high-definition sequence of video images;
First computation subunit, for the brightness value of pixel each in read test subelement, and subtract each other with the brightness value of gridiron pattern correspondence position pixel, obtain absolute difference, the ratio of the maximum grey level quantization value of absolute difference and image is departed from percentage as the brightness testing each pixel in subelement; Described test cell is made up of multiple equally distributed test subelement;
Second computation subunit, other pixel quantity of each blur level in the test subelement of each two field picture is added up for departing from percentage according to brightness, and the ratio that the pixel quantity calculating each rank is shared in whole test subelement, obtain the ambiguity of testing each rank of subelement, and will the total ambiguity of ambiguity summation as test subelement of top n rank be positioned at, N is less than the rank sum of test subelement;
3rd computation subunit, for the mean value of the ambiguity using each rank of test cell as the ambiguity of each rank of ultra high-definition sequence of video images current frame image, and total ambiguity of all test subelements is averaged as total ambiguity of ultra high-definition sequence of video images current frame image.
10. a kind of ultra high-definition video image ambiguity test macro according to claim 7, it is characterized in that, described second computing module comprises average calculation unit, ambiguity for each rank by all two field pictures obtained is averaged, and obtains the ambiguity of each rank of ultra high-definition sequence of video images;
And total ambiguity of all two field pictures obtained is averaged, obtain total ambiguity of ultra high-definition sequence of video images.
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