A dehazing algorithm of compensated transmission based on negative haze concentration correction.
Saved in:
| Title: | A dehazing algorithm of compensated transmission based on negative haze concentration correction. |
|---|---|
| Authors: | LŪ, Dongxia1, YANG, Yan1 yangyantd@mail.lzjtu.cn |
| Source: | Journal of Measurement Science & Instrumentation. Mar2026, Vol. 17 Issue 1, p88-96. 9p. |
| Subjects: | Image reconstruction algorithms, Atmospheric turbidity, Image processing |
| Abstract: | Aiming at the problems such as halos, artifacts and incomplete dehazing in hazy image restoring processing, a dehazing algorithm of compensated transmission based on negative haze concentration correction is proposed. First of all, the error mechanism is used to compensate for the transmission of the dark channel prior(DCP), observing the relationships among transmission, depth of field, and haze concentration. A negative haze concentration model is constructed to adaptively correct the transmission of gamma in this study. Finally, the channel difference fusion-based median channel is proposed to correct local atmospheric veil and combined with the atmospheric scattering model to recover haze-free image. The experimental results show that the algorithm solves the problems of halos, artifacts and incomplete dehazing with outstanding details and appropriate brightness. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Measurement Science & Instrumentation is the property of Journal of Measurement Science & Instrumentation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 193822113 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A dehazing algorithm of compensated transmission based on negative haze concentration correction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22LŪ%2C+Dongxia%22">LŪ, Dongxia</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22YANG%2C+Yan%22">YANG, Yan</searchLink><relatesTo>1</relatesTo><i> yangyantd@mail.lzjtu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Measurement+Science+%26+Instrumentation%22">Journal of Measurement Science & Instrumentation</searchLink>. Mar2026, Vol. 17 Issue 1, p88-96. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Image+reconstruction+algorithms%22">Image reconstruction algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+turbidity%22">Atmospheric turbidity</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Aiming at the problems such as halos, artifacts and incomplete dehazing in hazy image restoring processing, a dehazing algorithm of compensated transmission based on negative haze concentration correction is proposed. First of all, the error mechanism is used to compensate for the transmission of the dark channel prior(DCP), observing the relationships among transmission, depth of field, and haze concentration. A negative haze concentration model is constructed to adaptively correct the transmission of gamma in this study. Finally, the channel difference fusion-based median channel is proposed to correct local atmospheric veil and combined with the atmospheric scattering model to recover haze-free image. The experimental results show that the algorithm solves the problems of halos, artifacts and incomplete dehazing with outstanding details and appropriate brightness. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Measurement Science & Instrumentation is the property of Journal of Measurement Science & Instrumentation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193822113 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.62756/jmsi.1674-8042.2026007 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 88 Subjects: – SubjectFull: Image reconstruction algorithms Type: general – SubjectFull: Atmospheric turbidity Type: general – SubjectFull: Image processing Type: general Titles: – TitleFull: A dehazing algorithm of compensated transmission based on negative haze concentration correction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: LŪ, Dongxia – PersonEntity: Name: NameFull: YANG, Yan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16748042 Numbering: – Type: volume Value: 17 – Type: issue Value: 1 Titles: – TitleFull: Journal of Measurement Science & Instrumentation Type: main |
| ResultId | 1 |
