Reversible data hiding algorithm in encrypted images using adaptive total variation and cross-cyclic shift Article Swipe
To reduce prediction error and improve the embedding rate of secret messages, a new reversible data hiding algorithm for encrypted images (RDHEI) is designed using adaptive total variation and cross-cyclic shift called RDHEIAC. The adaptive total variation is first used to generate the prediction error image. Then, the bit-plane rearrangement based on Hilbert scanning is performed to make room for data hiding. Thirdly, an improved run-length encoding is applied to compress the error image. Subsequently, a cross-cyclic shift operation and a diffusion operation based on chaotic maps are used to produce encrypted images. Finally, secret messages are inserted into the encrypted image using bit substitution. Experimental results indicate that the proposed RDHEI scheme is privacy secure and has high embedding capacity and image fidelity. Moreover, information extraction and image restoration are separable. Compared with previous RDHEI algorithms, the proposed RDHEI algorithm has a 47.07% higher embedding rate.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1504/ijaacs.2023.134851
- OA Status
- hybrid
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388698971
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4388698971Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1504/ijaacs.2023.134851Digital Object Identifier
- Title
-
Reversible data hiding algorithm in encrypted images using adaptive total variation and cross-cyclic shiftWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Mingfang JiangList of authors in order
- Landing page
-
https://doi.org/10.1504/ijaacs.2023.134851Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1504/ijaacs.2023.134851Direct OA link when available
- Concepts
-
Information hiding, Computer science, Encryption, Algorithm, Embedding, Image (mathematics), Variation (astronomy), Encoding (memory), Scheme (mathematics), Artificial intelligence, Mathematics, Astrophysics, Operating system, Mathematical analysis, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4388698971 |
|---|---|
| doi | https://doi.org/10.1504/ijaacs.2023.134851 |
| ids.doi | https://doi.org/10.1504/ijaacs.2023.134851 |
| ids.openalex | https://openalex.org/W4388698971 |
| fwci | 0.18196834 |
| type | article |
| title | Reversible data hiding algorithm in encrypted images using adaptive total variation and cross-cyclic shift |
| biblio.issue | 6 |
| biblio.volume | 16 |
| biblio.last_page | 631 |
| biblio.first_page | 611 |
| topics[0].id | https://openalex.org/T10388 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9937999844551086 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1707 |
| topics[0].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[0].display_name | Advanced Steganography and Watermarking Techniques |
| topics[1].id | https://openalex.org/T11017 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9912999868392944 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1707 |
| topics[1].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[1].display_name | Chaos-based Image/Signal Encryption |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C3073032 |
| concepts[0].level | 3 |
| concepts[0].score | 0.8284479379653931 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q15912075 |
| concepts[0].display_name | Information hiding |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.7468396425247192 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C148730421 |
| concepts[2].level | 2 |
| concepts[2].score | 0.741502583026886 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q141090 |
| concepts[2].display_name | Encryption |
| concepts[3].id | https://openalex.org/C11413529 |
| concepts[3].level | 1 |
| concepts[3].score | 0.6370096206665039 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[3].display_name | Algorithm |
| concepts[4].id | https://openalex.org/C41608201 |
| concepts[4].level | 2 |
| concepts[4].score | 0.6280075907707214 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q980509 |
| concepts[4].display_name | Embedding |
| concepts[5].id | https://openalex.org/C115961682 |
| concepts[5].level | 2 |
| concepts[5].score | 0.6192576885223389 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q860623 |
| concepts[5].display_name | Image (mathematics) |
| concepts[6].id | https://openalex.org/C2778334786 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5569382905960083 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1586270 |
| concepts[6].display_name | Variation (astronomy) |
| concepts[7].id | https://openalex.org/C125411270 |
| concepts[7].level | 2 |
| concepts[7].score | 0.503839910030365 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q18653 |
| concepts[7].display_name | Encoding (memory) |
| concepts[8].id | https://openalex.org/C77618280 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4278516471385956 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1155772 |
| concepts[8].display_name | Scheme (mathematics) |
| concepts[9].id | https://openalex.org/C154945302 |
| concepts[9].level | 1 |
| concepts[9].score | 0.34550803899765015 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[9].display_name | Artificial intelligence |
| concepts[10].id | https://openalex.org/C33923547 |
| concepts[10].level | 0 |
| concepts[10].score | 0.17647430300712585 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[10].display_name | Mathematics |
| concepts[11].id | https://openalex.org/C44870925 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q37547 |
| concepts[11].display_name | Astrophysics |
| concepts[12].id | https://openalex.org/C111919701 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[12].display_name | Operating system |
| concepts[13].id | https://openalex.org/C134306372 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[13].display_name | Mathematical analysis |
| concepts[14].id | https://openalex.org/C121332964 |
| concepts[14].level | 0 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[14].display_name | Physics |
| keywords[0].id | https://openalex.org/keywords/information-hiding |
| keywords[0].score | 0.8284479379653931 |
| keywords[0].display_name | Information hiding |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.7468396425247192 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/encryption |
| keywords[2].score | 0.741502583026886 |
| keywords[2].display_name | Encryption |
| keywords[3].id | https://openalex.org/keywords/algorithm |
| keywords[3].score | 0.6370096206665039 |
| keywords[3].display_name | Algorithm |
| keywords[4].id | https://openalex.org/keywords/embedding |
| keywords[4].score | 0.6280075907707214 |
| keywords[4].display_name | Embedding |
| keywords[5].id | https://openalex.org/keywords/image |
| keywords[5].score | 0.6192576885223389 |
| keywords[5].display_name | Image (mathematics) |
| keywords[6].id | https://openalex.org/keywords/variation |
| keywords[6].score | 0.5569382905960083 |
| keywords[6].display_name | Variation (astronomy) |
| keywords[7].id | https://openalex.org/keywords/encoding |
| keywords[7].score | 0.503839910030365 |
| keywords[7].display_name | Encoding (memory) |
| keywords[8].id | https://openalex.org/keywords/scheme |
| keywords[8].score | 0.4278516471385956 |
| keywords[8].display_name | Scheme (mathematics) |
| keywords[9].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[9].score | 0.34550803899765015 |
| keywords[9].display_name | Artificial intelligence |
| keywords[10].id | https://openalex.org/keywords/mathematics |
| keywords[10].score | 0.17647430300712585 |
| keywords[10].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.1504/ijaacs.2023.134851 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S191948775 |
| locations[0].source.issn | 1754-8632, 1754-8640 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1754-8632 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | International Journal of Autonomous and Adaptive Communications Systems |
| locations[0].source.host_organization | https://openalex.org/P4310317825 |
| locations[0].source.host_organization_name | Inderscience Publishers |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310317825 |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | International Journal of Autonomous and Adaptive Communications Systems |
| locations[0].landing_page_url | https://doi.org/10.1504/ijaacs.2023.134851 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5059516330 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3527-2113 |
| authorships[0].author.display_name | Mingfang Jiang |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I916048824 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Computer Science, Hunan First Normal University, Changsha, 410205, China |
| authorships[0].institutions[0].id | https://openalex.org/I916048824 |
| authorships[0].institutions[0].ror | https://ror.org/00s9d1a36 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I916048824 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Hunan First Normal University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Mingfang Jiang |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | School of Computer Science, Hunan First Normal University, Changsha, 410205, China |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1504/ijaacs.2023.134851 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Reversible data hiding algorithm in encrypted images using adaptive total variation and cross-cyclic shift |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10388 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9937999844551086 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1707 |
| primary_topic.subfield.display_name | Computer Vision and Pattern Recognition |
| primary_topic.display_name | Advanced Steganography and Watermarking Techniques |
| related_works | https://openalex.org/W2386430105, https://openalex.org/W2356521405, https://openalex.org/W3190769222, https://openalex.org/W3127228990, https://openalex.org/W2301878849, https://openalex.org/W2054082132, https://openalex.org/W2769668853, https://openalex.org/W3101977789, https://openalex.org/W2184946989, https://openalex.org/W2969231831 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1504/ijaacs.2023.134851 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S191948775 |
| best_oa_location.source.issn | 1754-8632, 1754-8640 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 1754-8632 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | International Journal of Autonomous and Adaptive Communications Systems |
| best_oa_location.source.host_organization | https://openalex.org/P4310317825 |
| best_oa_location.source.host_organization_name | Inderscience Publishers |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310317825 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | International Journal of Autonomous and Adaptive Communications Systems |
| best_oa_location.landing_page_url | https://doi.org/10.1504/ijaacs.2023.134851 |
| primary_location.id | doi:10.1504/ijaacs.2023.134851 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S191948775 |
| primary_location.source.issn | 1754-8632, 1754-8640 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1754-8632 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | International Journal of Autonomous and Adaptive Communications Systems |
| primary_location.source.host_organization | https://openalex.org/P4310317825 |
| primary_location.source.host_organization_name | Inderscience Publishers |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310317825 |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | International Journal of Autonomous and Adaptive Communications Systems |
| primary_location.landing_page_url | https://doi.org/10.1504/ijaacs.2023.134851 |
| publication_date | 2023-01-01 |
| publication_year | 2023 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 12, 75, 80, 142 |
| abstract_inverted_index.To | 0 |
| abstract_inverted_index.an | 63 |
| abstract_inverted_index.is | 22, 37, 54, 67, 113 |
| abstract_inverted_index.of | 9 |
| abstract_inverted_index.on | 51, 84 |
| abstract_inverted_index.to | 40, 56, 69, 89 |
| abstract_inverted_index.The | 33 |
| abstract_inverted_index.and | 4, 28, 79, 116, 121, 127 |
| abstract_inverted_index.are | 87, 96, 130 |
| abstract_inverted_index.bit | 103 |
| abstract_inverted_index.for | 18, 59 |
| abstract_inverted_index.has | 117, 141 |
| abstract_inverted_index.new | 13 |
| abstract_inverted_index.the | 6, 42, 47, 71, 99, 109, 137 |
| abstract_inverted_index.data | 15, 60 |
| abstract_inverted_index.high | 118 |
| abstract_inverted_index.into | 98 |
| abstract_inverted_index.make | 57 |
| abstract_inverted_index.maps | 86 |
| abstract_inverted_index.rate | 8 |
| abstract_inverted_index.room | 58 |
| abstract_inverted_index.that | 108 |
| abstract_inverted_index.used | 39, 88 |
| abstract_inverted_index.with | 133 |
| abstract_inverted_index.RDHEI | 111, 135, 139 |
| abstract_inverted_index.Then, | 46 |
| abstract_inverted_index.based | 50, 83 |
| abstract_inverted_index.error | 3, 44, 72 |
| abstract_inverted_index.first | 38 |
| abstract_inverted_index.image | 101, 122, 128 |
| abstract_inverted_index.rate. | 146 |
| abstract_inverted_index.shift | 30, 77 |
| abstract_inverted_index.total | 26, 35 |
| abstract_inverted_index.using | 24, 102 |
| abstract_inverted_index.47.07% | 143 |
| abstract_inverted_index.called | 31 |
| abstract_inverted_index.hiding | 16 |
| abstract_inverted_index.higher | 144 |
| abstract_inverted_index.image. | 45, 73 |
| abstract_inverted_index.images | 20 |
| abstract_inverted_index.reduce | 1 |
| abstract_inverted_index.scheme | 112 |
| abstract_inverted_index.secret | 10, 94 |
| abstract_inverted_index.secure | 115 |
| abstract_inverted_index.(RDHEI) | 21 |
| abstract_inverted_index.Hilbert | 52 |
| abstract_inverted_index.applied | 68 |
| abstract_inverted_index.chaotic | 85 |
| abstract_inverted_index.hiding. | 61 |
| abstract_inverted_index.images. | 92 |
| abstract_inverted_index.improve | 5 |
| abstract_inverted_index.privacy | 114 |
| abstract_inverted_index.produce | 90 |
| abstract_inverted_index.results | 106 |
| abstract_inverted_index.Compared | 132 |
| abstract_inverted_index.Finally, | 93 |
| abstract_inverted_index.RDHEIAC. | 32 |
| abstract_inverted_index.Thirdly, | 62 |
| abstract_inverted_index.adaptive | 25, 34 |
| abstract_inverted_index.capacity | 120 |
| abstract_inverted_index.compress | 70 |
| abstract_inverted_index.designed | 23 |
| abstract_inverted_index.encoding | 66 |
| abstract_inverted_index.generate | 41 |
| abstract_inverted_index.improved | 64 |
| abstract_inverted_index.indicate | 107 |
| abstract_inverted_index.inserted | 97 |
| abstract_inverted_index.messages | 95 |
| abstract_inverted_index.previous | 134 |
| abstract_inverted_index.proposed | 110, 138 |
| abstract_inverted_index.scanning | 53 |
| abstract_inverted_index.Moreover, | 124 |
| abstract_inverted_index.algorithm | 17, 140 |
| abstract_inverted_index.bit-plane | 48 |
| abstract_inverted_index.diffusion | 81 |
| abstract_inverted_index.embedding | 7, 119, 145 |
| abstract_inverted_index.encrypted | 19, 91, 100 |
| abstract_inverted_index.fidelity. | 123 |
| abstract_inverted_index.messages, | 11 |
| abstract_inverted_index.operation | 78, 82 |
| abstract_inverted_index.performed | 55 |
| abstract_inverted_index.variation | 27, 36 |
| abstract_inverted_index.extraction | 126 |
| abstract_inverted_index.prediction | 2, 43 |
| abstract_inverted_index.reversible | 14 |
| abstract_inverted_index.run-length | 65 |
| abstract_inverted_index.separable. | 131 |
| abstract_inverted_index.algorithms, | 136 |
| abstract_inverted_index.information | 125 |
| abstract_inverted_index.restoration | 129 |
| abstract_inverted_index.Experimental | 105 |
| abstract_inverted_index.cross-cyclic | 29, 76 |
| abstract_inverted_index.Subsequently, | 74 |
| abstract_inverted_index.rearrangement | 49 |
| abstract_inverted_index.substitution. | 104 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5059516330 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| corresponding_institution_ids | https://openalex.org/I916048824 |
| citation_normalized_percentile.value | 0.47268765 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |