Evidence map›Paper›PMID 35194383›Full record

ArticleMultimedia tools and applications2022

Medical images lossless recovery based on POB number system and image compression.

Qingdan Li, Yao Fu, Zehui Zhang, Abdul Joseph Fofanah, Tiegang Gao

Abstract read
In one paragraph

Article in Multimedia tools and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qingdan LiCollege of Software, Nankai University, Tianjin, 300350 China.
Yao FuCollege of Software, Nankai University, Tianjin, 300350 China.
Zehui ZhangCollege of Software, Nankai University, Tianjin, 300350 China.
Abdul Joseph FofanahMilton Margai University of Education and Technology, Freetown, Sierra Leone.
Tiegang GaoCollege of Software, Nankai University, Tianjin, 300350 China.ORCID 0000-0002-3964-2612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To protect the information integrity of the medical images, this paper proposes a secure lossless recovery scheme for medical images based on image block compression and permutation ordered binary (POB) number system, which includes two parts: share generation, and lossless recovery. In the shares generation stage, the region of interest (ROI) of the original medical image and the image block compression coding algorithm JPEG-LS, are firstly adopted to generate the compressed data, which can use limited storage space to place the data repeatedly. Then, after separating the bit-plane, the compressed data are executed by data reorganization and data encryption respectively on the high-plane and the low-plane. Finally, two authentication bits are extracted by 8-bit pixel of two planes to be inserted into the pixel itself, and then the 10-bit pixel is converted into an 8-bit POB value to produce two shares of

Indexed as

Block-wise compressionImage processingLossless recoveryPermutation ordered binary (POB) number system

Identifiers

PMID35194383
PMCPMC8853158

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.