CN103679798A - Digital reduction method for cave wall paintings - Google Patents
Digital reduction method for cave wall paintings Download PDFInfo
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- CN103679798A CN103679798A CN201210347319.2A CN201210347319A CN103679798A CN 103679798 A CN103679798 A CN 103679798A CN 201210347319 A CN201210347319 A CN 201210347319A CN 103679798 A CN103679798 A CN 103679798A
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- grottoes
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Abstract
The invention relates to a digital reduction method for cave wall paintings. The digital reduction method comprises the following steps:(1) performing substation scanning on a cave structure through a three-dimensional scanner to obtain cave structure data, and constructing an entity cave model according to actual three-dimensional cave structure data; (2) acquiring image data of the cave wall paintings, and generating a color characteristic file corresponding to each cave wall painting according to the current light condition; (3) processing the acquired cave wall painting images; (4) printing and outputting the processed cave wall painting images according to the color characteristic files in the step (2); (5) mounting the output cave wall painting images in the entity cave model. Compared with the prior art, the digital reduction method for the cave wall paintings has the advantages that the actual cave structure and the cave wall paintings can be precisely reduced, the wall painting cultural relics can be effectively protected, the cost is low, and the cave wall painting reduction and the cultural transmission exhibition are integrated.
Description
Technical field
The present invention relates to a kind of image processing method, especially relate to a kind of grottoes mural painting digitizing method of reducing.
Background technology
Also there is no in the world at present the concrete grammar about grottoes mural painting digitizing reductibility copies and cultural spreading is shown.From grade one cultural relics of the state digital protection aspect, existing whole grottoes mural painting digitizing reductibility copies and cultural spreading is shown and to have been experienced two developing stage: 1, egative film shooting, collecting mural painting image, then by tradition, develop and print mural painting image or traditional electrical extension set and again scan egative film and carry out cultural spreading displaying for traditional printing books publication; 2, slr camera gathers mural painting image, more directly carries out computing machine processing, then at the large format mural painting image for network issue, desktop publishing, books publication, low precision, carries out cultural spreading displaying.More than say two kinds copy about grottoes mural painting digitizing reductibility and technical method that cultural spreading is shown does not all have well to show the level of detail of grottoes mural painting, the true colors of grottoes mural painting and cultural spreading bandwagon effect.The major defect of existing grottoes mural painting digital protection method is that cost is high, the deadline long, the manpower and materials of use are many and final achievement does not form a good synthesis.
Summary of the invention
Object of the present invention be exactly in order to overcome the defect that above-mentioned prior art exists, provide a kind of can the actual grottoes structure of precise restoration and grottoes mural painting, effectively protect mural painting historical relic, grottoes mural painting digitizing method of reducing that cost is low.
Object of the present invention can be achieved through the following technical solutions:
A grottoes mural painting digitizing method of reducing, comprises the following steps:
1) adopt spatial digitizer to carry out substation scanning to grottoes structure, obtain grottoes structured data, and set up entity grottoes model according to actual grottoes three-dimensional structure data;
2) gather grottoes mural painting view data, and generate the corresponding color characteristic file of each width grottoes mural painting according to current light situation;
3) the grottoes mural painting image collecting is processed;
4) according to step 2) in color characteristic file by the grottoes mural painting image printing output after processing;
5) the grottoes mural painting image of output is carried out to mounting processing in entity grottoes model.
Described step 1) concrete steps of setting up entity grottoes model in are:
11) according to actual grottoes structured data, adopt the entity grottoes framed structure of keel frame structure constructing modular;
12) in the gap of grottoes framed structure, adopt packing material to fill, strengthen the firmness of grottoes framed structure;
13) inside surface of grottoes framed structure is whitewashed to processing, obtain entity grottoes model;
14) the entity grottoes model completing is carried out to three-dimensional structure scanning, itself and actual grottoes three-dimensional structure data are carried out to automatic comparison;
15) according to comparison result correction entity grottoes model.
Described step 2) be specially:
21) positioning acquisition equipment and light units;
22) according to light units distribution situation, generate color characteristic file;
23) gather grottoes mural painting view data, and the view data collecting is carried out to picture quality inspection, confirm the integrality of image.
Described collecting device comprises convenience high precision scanner or high pixel digital camera.
Described step 3) be specially:
31) adjacent multiple automatic Image Stitchings, and detect its integrality;
32) automatically name and store the local grottoes mural painting image having spliced;
33) multiple local grottoes mural painting images of automatic Mosaic, and detect its integrality;
34) store complete grottoes mural painting image.
If described automatic Mosaic is unsuccessful, manually splice.
Described step 5) mounting in is processed and is referred to: by step 4) in adjacent two mural painting images of output aims at splicing cutting, again splicing edge is carried out to grinding process, reverse side at output mural painting image medium evenly whitewashes paste, then mural painting image is carried out to basic fixed position paper processing by a certain corner.
Compared with prior art, the present invention has the following advantages:
1) the inventive method solves grottoes mural painting well in the reduction problem of level of detail, realistic colour information etc., by the actual grottoes mural painting of color characteristic file precise restoration;
2) the present invention has set up entity grottoes model, in cultural spreading displaying field, has applicability widely, has effectively protected historical relic;
3) the present invention adopts conventional equipment to carry out, and has the low advantage of cost.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the inventive method;
Fig. 2 is the schematic flow sheet of grottoes structure scanning of the present invention;
Fig. 3 is the schematic flow sheet that the present invention sets up entity grottoes model;
Fig. 4 is the schematic flow sheet of grottoes mural painting image data acquiring of the present invention;
Fig. 5 is the schematic flow sheet that image of the present invention is processed;
Fig. 6 is the schematic flow sheet of grottoes mural painting image printing output of the present invention;
Fig. 7 is the schematic flow sheet that mounting of the present invention is processed.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.
Embodiment
As shown in Figure 1, a kind of grottoes mural painting digitizing method of reducing, comprises the following steps:
1) adopt spatial digitizer to carry out substation scanning to grottoes structure, obtain grottoes structured data, and real-time inspection arranges the data scan, and set up entity grottoes model according to actual grottoes three-dimensional structure data, Fig. 2 has provided the step of grottoes structure being carried out to substation scanning.The concrete steps of setting up entity grottoes model in Fig. 3 are:
11) according to actual grottoes structured data, adopt the entity grottoes framed structure of keel frame structure constructing modular;
12) in the gap of grottoes framed structure, adopt packing material to fill, strengthen the firmness of grottoes framed structure;
13) inside surface of grottoes framed structure is whitewashed to processing, obtain entity grottoes model;
14) the entity grottoes model completing is carried out to three-dimensional structure scanning, itself and actual grottoes three-dimensional structure data are carried out to automatic comparison;
15) according to comparison result correction entity grottoes model.
2) gather grottoes mural painting view data, and generate the corresponding color characteristic file of each width grottoes mural painting according to current light situation, as shown in Figure 4, gather grottoes mural painting view data and be specially:
21) positioning acquisition equipment and light units;
22) according to light units distribution situation, generate color characteristic file;
23) gather grottoes mural painting view data, and the view data collecting is carried out to picture quality inspection, confirm the integrality of image.
3) the grottoes mural painting image collecting is processed, as shown in Figure 5, concrete treatment step is:
31) adjacent multiple automatic Image Stitchings, and detect its integrality;
32) automatically name and store the local grottoes mural painting image having spliced;
33) multiple local grottoes mural painting images of automatic Mosaic, and detect its integrality;
34) store complete grottoes mural painting image.
If repeatedly automatic Mosaic is unsuccessful, manually splice.
4) according to step 2) in color characteristic file by the grottoes mural painting image printing output after processing, concrete steps are as shown in Figure 6.
5) the grottoes mural painting image of output is carried out to mounting processing in entity grottoes model, as shown in Figure 7, mounting is processed and to be referred to: by step 4) in adjacent two mural painting images of output aims at splicing cutting, again splicing edge is carried out to grinding process, reverse side at output mural painting image medium evenly whitewashes paste, then mural painting image is carried out to basic fixed position paper processing by a certain corner.
Grottoes mural painting digitizing method of reducing of the present invention solves the reduction problem of grottoes mural painting in level of detail, realistic colour information well.This complex art copies and cultural spreading displaying field has applicability widely in grottoes mural painting digitizing reductibility.
Claims (6)
1. a grottoes mural painting digitizing method of reducing, is characterized in that, comprises the following steps:
1) adopt spatial digitizer to carry out substation scanning to grottoes structure, obtain grottoes structured data, and set up entity grottoes model according to actual grottoes three-dimensional structure data;
2) gather grottoes mural painting view data, and generate the corresponding color characteristic file of each width grottoes mural painting according to current light situation;
3) the grottoes mural painting image collecting is processed;
4) according to step 2) in color characteristic file by the grottoes mural painting image printing output after processing;
5) the grottoes mural painting image of output is carried out to mounting processing in entity grottoes model.
2. a kind of grottoes mural painting digitizing method of reducing according to claim 1, is characterized in that described step 1) in the concrete steps of setting up entity grottoes model be:
11) according to actual grottoes structured data, adopt the entity grottoes framed structure of keel frame structure constructing modular;
12) in the gap of grottoes framed structure, adopt packing material to fill, strengthen the firmness of grottoes framed structure;
13) inside surface of grottoes framed structure is whitewashed to processing, obtain entity grottoes model;
14) the entity grottoes model completing is carried out to three-dimensional structure scanning, itself and actual grottoes three-dimensional structure data are carried out to automatic comparison;
15) according to comparison result correction entity grottoes model.
3. a kind of grottoes mural painting digitizing method of reducing according to claim 1, is characterized in that described step 2) be specially:
21) positioning acquisition equipment and light units;
22) according to light units distribution situation, generate color characteristic file;
23) gather grottoes mural painting view data, and the view data collecting is carried out to picture quality inspection, confirm the integrality of image.
4. a kind of grottoes mural painting digitizing method of reducing according to claim 3, is characterized in that, described collecting device comprises convenience high precision scanner or high pixel digital camera.
5. a kind of grottoes mural painting digitizing method of reducing according to claim 1, is characterized in that described step 3) be specially:
31) adjacent multiple automatic Image Stitchings, and detect its integrality;
32) automatically name and store the local grottoes mural painting image having spliced;
33) multiple local grottoes mural painting images of automatic Mosaic, and detect its integrality;
34) store complete grottoes mural painting image.
6. a kind of grottoes mural painting digitizing method of reducing according to claim 1, it is characterized in that, described step 5) mounting in is processed and is referred to: by step 4) in adjacent two mural painting images of output aims at splicing cutting, again splicing edge is carried out to grinding process, reverse side at output mural painting image medium evenly whitewashes paste, then mural painting image is carried out to basic fixed position paper processing by a certain corner.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201210347319.2A CN103679798A (en) | 2012-09-17 | 2012-09-17 | Digital reduction method for cave wall paintings |
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| CN201210347319.2A CN103679798A (en) | 2012-09-17 | 2012-09-17 | Digital reduction method for cave wall paintings |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110254116A (en) * | 2019-06-26 | 2019-09-20 | 季云博 | The reparation of the Longmen Grottoes colour mural painting, the non-something lost technique for drawing color |
| CN111626954A (en) * | 2020-05-22 | 2020-09-04 | 兰州理工大学 | Mural image color restoration method and device, storage medium and computer equipment |
| CN113291075A (en) * | 2021-03-01 | 2021-08-24 | 广州汉阈数据处理技术有限公司 | Fresco duplicating method |
| CN116708683A (en) * | 2023-08-01 | 2023-09-05 | 文博安全科技有限公司 | Digital automatic acquisition system and method for wall painting |
Citations (2)
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| JP2005175515A (en) * | 2003-03-19 | 2005-06-30 | Yoshimasa Matsubara | Method of securely preserving cultural property |
| CN102609924A (en) * | 2012-03-12 | 2012-07-25 | 敦煌研究院 | Digital high-fidelity image collecting and processing method of stone cave temple wall paintings |
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2012
- 2012-09-17 CN CN201210347319.2A patent/CN103679798A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005175515A (en) * | 2003-03-19 | 2005-06-30 | Yoshimasa Matsubara | Method of securely preserving cultural property |
| CN102609924A (en) * | 2012-03-12 | 2012-07-25 | 敦煌研究院 | Digital high-fidelity image collecting and processing method of stone cave temple wall paintings |
Non-Patent Citations (3)
| Title |
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| XIANGYANG LI等: "Color restoration and image retrieval for Dunhuang fresco preservation", 《MULTIMEDIA, IEEE》 * |
| 刘刚 等: "敦煌莫高窟石窟三维数字化技术研究", 《敦煌研究》 * |
| 高剑平: "上海原尺寸还原复制龟兹石窟", 《阿克苏日报》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110254116A (en) * | 2019-06-26 | 2019-09-20 | 季云博 | The reparation of the Longmen Grottoes colour mural painting, the non-something lost technique for drawing color |
| CN111626954A (en) * | 2020-05-22 | 2020-09-04 | 兰州理工大学 | Mural image color restoration method and device, storage medium and computer equipment |
| CN111626954B (en) * | 2020-05-22 | 2022-05-06 | 兰州理工大学 | Mural image color restoration method and device, storage medium and computer equipment |
| CN113291075A (en) * | 2021-03-01 | 2021-08-24 | 广州汉阈数据处理技术有限公司 | Fresco duplicating method |
| CN113291075B (en) * | 2021-03-01 | 2024-01-09 | 广州汉阈数据处理技术有限公司 | Wall painting copying method |
| CN116708683A (en) * | 2023-08-01 | 2023-09-05 | 文博安全科技有限公司 | Digital automatic acquisition system and method for wall painting |
| CN116708683B (en) * | 2023-08-01 | 2023-10-10 | 文博安全科技有限公司 | Digital automatic acquisition system and method for wall painting |
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