Efficient Medicinal Image Transmission and Resolution Enhancement via GAN Article Swipe

PDF

Rishabh Kumar Sharma , M. M. Sharma , Pushkar Sharma , Jeetashree Aparjeeta ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2411.12833

While X-ray imaging is indispensable in medical diagnostics, it inherently carries with it those noises and limitations on resolution that mask the details necessary for diagnosis. B/W X-ray images require a careful balance between noise suppression and high-detail preservation to ensure clarity in soft-tissue structures and bone edges. While traditional methods, such as CNNs and early super-resolution models like ESRGAN, have enhanced image resolution, they often perform poorly regarding high-frequency detail preservation and noise control for B/W imaging. We are going to present one efficient approach that improves the quality of an image with the optimization of network transmission in the following paper. The pre-processing of X-ray images into low-resolution files by Real-ESRGAN, a version of ESRGAN elucidated and improved, helps reduce the server load and transmission bandwidth. Lower-resolution images are upscaled at the receiving end using Real-ESRGAN, fine-tuned for real-world image degradation. The model integrates Residual-in-Residual Dense Blocks with perceptual and adversarial loss functions for high-quality upscaled images with low noise. We further fine-tune Real-ESRGAN by adapting it to the specific B/W noise and contrast characteristics. This suppresses noise artifacts without compromising detail. The comparative evaluation conducted shows that our approach achieves superior noise reduction and detail clarity compared to state-of-the-art CNN-based and ESRGAN models, apart from reducing network bandwidth requirements. These benefits are confirmed both by quantitative metrics, including Peak Signal-to-Noise Ratio and Structural Similarity Index, and by qualitative assessments, which indicate the potential of Real-ESRGAN for diagnostic-quality X-ray imaging and for efficient medical data transmission.

Related Topics

Artificial Intelligence

Concepts

Transmission (telecommunications) Resolution (logic) Image (mathematics) Optoelectronics Materials science Computer science Business Nanotechnology Computer vision Artificial intelligence Telecommunications

Metadata

Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2411.12833
PDF: https://arxiv.org/pdf/2411.12833
OA Status: green
Related Works: 10
OpenAlex ID: https://openalex.org/W4404648610

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4404648610

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.48550/arxiv.2411.12833

Digital Object Identifier
Title: Efficient Medicinal Image Transmission and Resolution Enhancement via GAN

Work title
Type: preprint

OpenAlex work type
Language: en

Primary language
Publication year: 2024

Year of publication
Publication date: 2024-11-19

Full publication date if available
Authors: Rishabh Kumar Sharma, M. M. Sharma, Pushkar Sharma, Jeetashree Aparjeeta

List of authors in order
Landing page: https://arxiv.org/abs/2411.12833

Publisher landing page
PDF URL: https://arxiv.org/pdf/2411.12833

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: green

Open access status per OpenAlex
OA URL: https://arxiv.org/pdf/2411.12833

Direct OA link when available
Concepts: Transmission (telecommunications), Resolution (logic), Image (mathematics), Optoelectronics, Materials science, Computer science, Business, Nanotechnology, Computer vision, Artificial intelligence, Telecommunications

Top concepts (fields/topics) attached by OpenAlex
Cited by: 0

Total citation count in OpenAlex
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4404648610
doi	https://doi.org/10.48550/arxiv.2411.12833
ids.doi	https://doi.org/10.48550/arxiv.2411.12833
ids.openalex	https://openalex.org/W4404648610
fwci
type	preprint
title	Efficient Medicinal Image Transmission and Resolution Enhancement via GAN
biblio.issue
biblio.volume
biblio.last_page
biblio.first_page
topics[0].id	https://openalex.org/T12702
topics[0].field.id	https://openalex.org/fields/28
topics[0].field.display_name	Neuroscience
topics[0].score	0.9564999938011169
topics[0].domain.id	https://openalex.org/domains/1
topics[0].domain.display_name	Life Sciences
topics[0].subfield.id	https://openalex.org/subfields/2808
topics[0].subfield.display_name	Neurology
topics[0].display_name	Brain Tumor Detection and Classification
topics[1].id	https://openalex.org/T13114
topics[1].field.id	https://openalex.org/fields/22
topics[1].field.display_name	Engineering
topics[1].score	0.9409000277519226
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/2214
topics[1].subfield.display_name	Media Technology
topics[1].display_name	Image Processing Techniques and Applications
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C761482
concepts[0].level	2
concepts[0].score	0.5948523879051208
concepts[0].wikidata	https://www.wikidata.org/wiki/Q118093
concepts[0].display_name	Transmission (telecommunications)
concepts[1].id	https://openalex.org/C138268822
concepts[1].level	2
concepts[1].score	0.53218013048172
concepts[1].wikidata	https://www.wikidata.org/wiki/Q1051925
concepts[1].display_name	Resolution (logic)
concepts[2].id	https://openalex.org/C115961682
concepts[2].level	2
concepts[2].score	0.49292945861816406
concepts[2].wikidata	https://www.wikidata.org/wiki/Q860623
concepts[2].display_name	Image (mathematics)
concepts[3].id	https://openalex.org/C49040817
concepts[3].level	1
concepts[3].score	0.46710100769996643
concepts[3].wikidata	https://www.wikidata.org/wiki/Q193091
concepts[3].display_name	Optoelectronics
concepts[4].id	https://openalex.org/C192562407
concepts[4].level	0
concepts[4].score	0.43910929560661316
concepts[4].wikidata	https://www.wikidata.org/wiki/Q228736
concepts[4].display_name	Materials science
concepts[5].id	https://openalex.org/C41008148
concepts[5].level	0
concepts[5].score	0.34725451469421387
concepts[5].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[5].display_name	Computer science
concepts[6].id	https://openalex.org/C144133560
concepts[6].level	0
concepts[6].score	0.3466203510761261
concepts[6].wikidata	https://www.wikidata.org/wiki/Q4830453
concepts[6].display_name	Business
concepts[7].id	https://openalex.org/C171250308
concepts[7].level	1
concepts[7].score	0.3268251121044159
concepts[7].wikidata	https://www.wikidata.org/wiki/Q11468
concepts[7].display_name	Nanotechnology
concepts[8].id	https://openalex.org/C31972630
concepts[8].level	1
concepts[8].score	0.29378047585487366
concepts[8].wikidata	https://www.wikidata.org/wiki/Q844240
concepts[8].display_name	Computer vision
concepts[9].id	https://openalex.org/C154945302
concepts[9].level	1
concepts[9].score	0.24925407767295837
concepts[9].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[9].display_name	Artificial intelligence
concepts[10].id	https://openalex.org/C76155785
concepts[10].level	1
concepts[10].score	0.17354559898376465
concepts[10].wikidata	https://www.wikidata.org/wiki/Q418
concepts[10].display_name	Telecommunications
keywords[0].id	https://openalex.org/keywords/transmission
keywords[0].score	0.5948523879051208
keywords[0].display_name	Transmission (telecommunications)
keywords[1].id	https://openalex.org/keywords/resolution
keywords[1].score	0.53218013048172
keywords[1].display_name	Resolution (logic)
keywords[2].id	https://openalex.org/keywords/image
keywords[2].score	0.49292945861816406
keywords[2].display_name	Image (mathematics)
keywords[3].id	https://openalex.org/keywords/optoelectronics
keywords[3].score	0.46710100769996643
keywords[3].display_name	Optoelectronics
keywords[4].id	https://openalex.org/keywords/materials-science
keywords[4].score	0.43910929560661316
keywords[4].display_name	Materials science
keywords[5].id	https://openalex.org/keywords/computer-science
keywords[5].score	0.34725451469421387
keywords[5].display_name	Computer science
keywords[6].id	https://openalex.org/keywords/business
keywords[6].score	0.3466203510761261
keywords[6].display_name	Business
keywords[7].id	https://openalex.org/keywords/nanotechnology
keywords[7].score	0.3268251121044159
keywords[7].display_name	Nanotechnology
keywords[8].id	https://openalex.org/keywords/computer-vision
keywords[8].score	0.29378047585487366
keywords[8].display_name	Computer vision
keywords[9].id	https://openalex.org/keywords/artificial-intelligence
keywords[9].score	0.24925407767295837
keywords[9].display_name	Artificial intelligence
keywords[10].id	https://openalex.org/keywords/telecommunications
keywords[10].score	0.17354559898376465
keywords[10].display_name	Telecommunications
language	en
locations[0].id	pmh:oai:arXiv.org:2411.12833
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4306400194
locations[0].source.issn
locations[0].source.type	repository
locations[0].source.is_oa	True
locations[0].source.issn_l
locations[0].source.is_core	False
locations[0].source.is_in_doaj	False
locations[0].source.display_name	arXiv (Cornell University)
locations[0].source.host_organization	https://openalex.org/I205783295
locations[0].source.host_organization_name	Cornell University
locations[0].source.host_organization_lineage	https://openalex.org/I205783295
locations[0].license
locations[0].pdf_url	https://arxiv.org/pdf/2411.12833
locations[0].version	submittedVersion
locations[0].raw_type	text
locations[0].license_id
locations[0].is_accepted	False
locations[0].is_published	False
locations[0].raw_source_name
locations[0].landing_page_url	http://arxiv.org/abs/2411.12833
locations[1].id	doi:10.48550/arxiv.2411.12833
locations[1].is_oa	True
locations[1].source.id	https://openalex.org/S4306400194
locations[1].source.issn
locations[1].source.type	repository
locations[1].source.is_oa	True
locations[1].source.issn_l
locations[1].source.is_core	False
locations[1].source.is_in_doaj	False
locations[1].source.display_name	arXiv (Cornell University)
locations[1].source.host_organization	https://openalex.org/I205783295
locations[1].source.host_organization_name	Cornell University
locations[1].source.host_organization_lineage	https://openalex.org/I205783295
locations[1].license
locations[1].pdf_url
locations[1].version
locations[1].raw_type	article
locations[1].license_id
locations[1].is_accepted	False
locations[1].is_published
locations[1].raw_source_name
locations[1].landing_page_url	https://doi.org/10.48550/arxiv.2411.12833
indexed_in	arxiv, datacite
authorships[0].author.id	https://openalex.org/A5108948589
authorships[0].author.orcid
authorships[0].author.display_name	Rishabh Kumar Sharma
authorships[0].author_position	first
authorships[0].raw_author_name	Sharma, Rishabh Kumar
authorships[0].is_corresponding	False
authorships[1].author.id	https://openalex.org/A5018123078
authorships[1].author.orcid	https://orcid.org/0000-0002-9212-438X
authorships[1].author.display_name	M. M. Sharma
authorships[1].author_position	middle
authorships[1].raw_author_name	Sharma, Mukund
authorships[1].is_corresponding	False
authorships[2].author.id	https://openalex.org/A5041282587
authorships[2].author.orcid	https://orcid.org/0000-0001-6861-0508
authorships[2].author.display_name	Pushkar Sharma
authorships[2].author_position	middle
authorships[2].raw_author_name	Sharma, Pushkar
authorships[2].is_corresponding	False
authorships[3].author.id	https://openalex.org/A5114761085
authorships[3].author.orcid
authorships[3].author.display_name	Jeetashree Aparjeeta
authorships[3].author_position	last
authorships[3].raw_author_name	Aparjeeta, Jeetashree
authorships[3].is_corresponding	False
has_content.pdf	False
has_content.grobid_xml	False
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://arxiv.org/pdf/2411.12833
open_access.oa_status	green
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Efficient Medicinal Image Transmission and Resolution Enhancement via GAN
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T06:51:31.235846
primary_topic.id	https://openalex.org/T12702
primary_topic.field.id	https://openalex.org/fields/28
primary_topic.field.display_name	Neuroscience
primary_topic.score	0.9564999938011169
primary_topic.domain.id	https://openalex.org/domains/1
primary_topic.domain.display_name	Life Sciences
primary_topic.subfield.id	https://openalex.org/subfields/2808
primary_topic.subfield.display_name	Neurology
primary_topic.display_name	Brain Tumor Detection and Classification
related_works	https://openalex.org/W1517180214, https://openalex.org/W2082780921, https://openalex.org/W2025517136, https://openalex.org/W2028664052, https://openalex.org/W634414395, https://openalex.org/W2186016250, https://openalex.org/W1584839083, https://openalex.org/W4255305805, https://openalex.org/W1601094116, https://openalex.org/W2056165575
cited_by_count	0
locations_count	2
best_oa_location.id	pmh:oai:arXiv.org:2411.12833
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4306400194
best_oa_location.source.issn
best_oa_location.source.type	repository
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l
best_oa_location.source.is_core	False
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	arXiv (Cornell University)
best_oa_location.source.host_organization	https://openalex.org/I205783295
best_oa_location.source.host_organization_name	Cornell University
best_oa_location.source.host_organization_lineage	https://openalex.org/I205783295
best_oa_location.license
best_oa_location.pdf_url	https://arxiv.org/pdf/2411.12833
best_oa_location.version	submittedVersion
best_oa_location.raw_type	text
best_oa_location.license_id
best_oa_location.is_accepted	False
best_oa_location.is_published	False
best_oa_location.raw_source_name
best_oa_location.landing_page_url	http://arxiv.org/abs/2411.12833
primary_location.id	pmh:oai:arXiv.org:2411.12833
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4306400194
primary_location.source.issn
primary_location.source.type	repository
primary_location.source.is_oa	True
primary_location.source.issn_l
primary_location.source.is_core	False
primary_location.source.is_in_doaj	False
primary_location.source.display_name	arXiv (Cornell University)
primary_location.source.host_organization	https://openalex.org/I205783295
primary_location.source.host_organization_name	Cornell University
primary_location.source.host_organization_lineage	https://openalex.org/I205783295
primary_location.license
primary_location.pdf_url	https://arxiv.org/pdf/2411.12833
primary_location.version	submittedVersion
primary_location.raw_type	text
primary_location.license_id
primary_location.is_accepted	False
primary_location.is_published	False
primary_location.raw_source_name
primary_location.landing_page_url	http://arxiv.org/abs/2411.12833
publication_date	2024-11-19
publication_year	2024
referenced_works_count	0
abstract_inverted_index.a	30, 113
abstract_inverted_index.We	78, 162
abstract_inverted_index.an	91
abstract_inverted_index.as	52
abstract_inverted_index.at	132
abstract_inverted_index.by	111, 166, 217, 229
abstract_inverted_index.in	5, 42, 99
abstract_inverted_index.is	3
abstract_inverted_index.it	8, 12, 168
abstract_inverted_index.of	90, 96, 105, 115, 236
abstract_inverted_index.on	17
abstract_inverted_index.to	39, 81, 169, 200
abstract_inverted_index.B/W	26, 76, 172
abstract_inverted_index.The	103, 143, 184
abstract_inverted_index.and	15, 36, 45, 54, 72, 118, 125, 151, 174, 196, 203, 224, 228, 242
abstract_inverted_index.are	79, 130, 214
abstract_inverted_index.end	135
abstract_inverted_index.for	24, 75, 139, 155, 238, 243
abstract_inverted_index.low	160
abstract_inverted_index.one	83
abstract_inverted_index.our	190
abstract_inverted_index.the	21, 88, 94, 100, 122, 133, 170, 234
abstract_inverted_index.CNNs	53
abstract_inverted_index.Peak	221
abstract_inverted_index.This	177
abstract_inverted_index.bone	46
abstract_inverted_index.both	216
abstract_inverted_index.data	246
abstract_inverted_index.from	207
abstract_inverted_index.have	60
abstract_inverted_index.into	108
abstract_inverted_index.like	58
abstract_inverted_index.load	124
abstract_inverted_index.loss	153
abstract_inverted_index.mask	20
abstract_inverted_index.such	51
abstract_inverted_index.that	19, 86, 189
abstract_inverted_index.they	64
abstract_inverted_index.with	11, 93, 149, 159
abstract_inverted_index.Dense	147
abstract_inverted_index.Ratio	223
abstract_inverted_index.These	212
abstract_inverted_index.While	0, 48
abstract_inverted_index.X-ray	1, 27, 106, 240
abstract_inverted_index.apart	206
abstract_inverted_index.early	55
abstract_inverted_index.files	110
abstract_inverted_index.going	80
abstract_inverted_index.helps	120
abstract_inverted_index.image	62, 92, 141
abstract_inverted_index.model	144
abstract_inverted_index.noise	34, 73, 173, 179, 194
abstract_inverted_index.often	65
abstract_inverted_index.shows	188
abstract_inverted_index.those	13
abstract_inverted_index.using	136
abstract_inverted_index.which	232
abstract_inverted_index.Blocks	148
abstract_inverted_index.ESRGAN	116, 204
abstract_inverted_index.Index,	227
abstract_inverted_index.detail	70, 197
abstract_inverted_index.edges.	47
abstract_inverted_index.ensure	40
abstract_inverted_index.images	28, 107, 129, 158
abstract_inverted_index.models	57
abstract_inverted_index.noise.	161
abstract_inverted_index.noises	14
abstract_inverted_index.paper.	102
abstract_inverted_index.poorly	67
abstract_inverted_index.reduce	121
abstract_inverted_index.server	123
abstract_inverted_index.ESRGAN,	59
abstract_inverted_index.balance	32
abstract_inverted_index.between	33
abstract_inverted_index.careful	31
abstract_inverted_index.carries	10
abstract_inverted_index.clarity	41, 198
abstract_inverted_index.control	74
abstract_inverted_index.detail.	183
abstract_inverted_index.details	22
abstract_inverted_index.further	163
abstract_inverted_index.imaging	2, 241
abstract_inverted_index.medical	6, 245
abstract_inverted_index.models,	205
abstract_inverted_index.network	97, 209
abstract_inverted_index.perform	66
abstract_inverted_index.present	82
abstract_inverted_index.quality	89
abstract_inverted_index.require	29
abstract_inverted_index.version	114
abstract_inverted_index.without	181
abstract_inverted_index.achieves	192
abstract_inverted_index.adapting	167
abstract_inverted_index.approach	85, 191
abstract_inverted_index.benefits	213
abstract_inverted_index.compared	199
abstract_inverted_index.contrast	175
abstract_inverted_index.enhanced	61
abstract_inverted_index.imaging.	77
abstract_inverted_index.improves	87
abstract_inverted_index.indicate	233
abstract_inverted_index.methods,	50
abstract_inverted_index.metrics,	219
abstract_inverted_index.reducing	208
abstract_inverted_index.specific	171
abstract_inverted_index.superior	193
abstract_inverted_index.upscaled	131, 157
abstract_inverted_index.CNN-based	202
abstract_inverted_index.artifacts	180
abstract_inverted_index.bandwidth	210
abstract_inverted_index.conducted	187
abstract_inverted_index.confirmed	215
abstract_inverted_index.efficient	84, 244
abstract_inverted_index.fine-tune	164
abstract_inverted_index.following	101
abstract_inverted_index.functions	154
abstract_inverted_index.improved,	119
abstract_inverted_index.including	220
abstract_inverted_index.necessary	23
abstract_inverted_index.potential	235
abstract_inverted_index.receiving	134
abstract_inverted_index.reduction	195
abstract_inverted_index.regarding	68
abstract_inverted_index.Similarity	226
abstract_inverted_index.Structural	225
abstract_inverted_index.bandwidth.	127
abstract_inverted_index.diagnosis.	25
abstract_inverted_index.elucidated	117
abstract_inverted_index.evaluation	186
abstract_inverted_index.fine-tuned	138
abstract_inverted_index.inherently	9
abstract_inverted_index.integrates	145
abstract_inverted_index.perceptual	150
abstract_inverted_index.real-world	140
abstract_inverted_index.resolution	18
abstract_inverted_index.structures	44
abstract_inverted_index.suppresses	178
abstract_inverted_index.Real-ESRGAN	165, 237
abstract_inverted_index.adversarial	152
abstract_inverted_index.comparative	185
abstract_inverted_index.high-detail	37
abstract_inverted_index.limitations	16
abstract_inverted_index.qualitative	230
abstract_inverted_index.resolution,	63
abstract_inverted_index.soft-tissue	43
abstract_inverted_index.suppression	35
abstract_inverted_index.traditional	49
abstract_inverted_index.Real-ESRGAN,	112, 137
abstract_inverted_index.assessments,	231
abstract_inverted_index.compromising	182
abstract_inverted_index.degradation.	142
abstract_inverted_index.diagnostics,	7
abstract_inverted_index.high-quality	156
abstract_inverted_index.optimization	95
abstract_inverted_index.preservation	38, 71
abstract_inverted_index.quantitative	218
abstract_inverted_index.transmission	98, 126
abstract_inverted_index.indispensable	4
abstract_inverted_index.requirements.	211
abstract_inverted_index.transmission.	247
abstract_inverted_index.high-frequency	69
abstract_inverted_index.low-resolution	109
abstract_inverted_index.pre-processing	104
abstract_inverted_index.Signal-to-Noise	222
abstract_inverted_index.Lower-resolution	128
abstract_inverted_index.characteristics.	176
abstract_inverted_index.state-of-the-art	201
abstract_inverted_index.super-resolution	56
abstract_inverted_index.diagnostic-quality	239
abstract_inverted_index.Residual-in-Residual	146
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	4
citation_normalized_percentile