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Title: :  UNSUPERVISED COLOR ALIGNMENT FOR CROSS - CAMERA IMAGING APPLICATIONS
PaperId: :  23293
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23293
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dr.K.Babu RaoUsha Rama college of engineering and technology
N.PujithaUsha Rama college of engineering and technology
A.MadhuUsha Rama college of engineering and technology
SK.Ayesha sultanaUsha Rama college of engineering and technology
Y.SambaSiva raoUsha Rama college of engineering and technology

Abstract

Electronics and Communication Engineering
patches, benchmarks, nonstandard color references, linearization.
Consistent color representation across imaging devices is crucial for numerous scientific applications. However, the inherent variations in image formation processes and the restricted access to native sensor data, particularly in consumer-grade cameras like smart phones, hinder reliable color assessment and impair computer vision performance. To address this challenge, we propose a color alignment framework that treats camera image formation as a black-box system and decomposes the color alignment task into three distinct stages: camera response calibration, response linearization and color matching. Our model can operate with non-standard color references, i.e., color patches with unknown true values, by leveraging a novel "balance-of-linear distances" feature. This approach is equivalent to determining camera parameters through an unsupervised learning process. Moreover, our method requires only a minimal set of corresponding color patches across the images to be aligned, thereby facilitating practical implementation. We evaluated our model's performance on three challenging image datasets , acquired under diverse illumination and exposure conditions by multiple cameras, including one dataset emulating uncommon scenarios encountered in scientific imaging applications. Comprehensive benchmarking demonstrated that our proposed color alignment model outperformed other popular and state-of-the-art methods, underscoring its efficacy and potential for widespread adoption.

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IJARIIE Dr.K.Babu Rao, N.Pujitha, A.Madhu, SK.Ayesha sultana, and Y.SambaSiva rao. "UNSUPERVISED COLOR ALIGNMENT FOR CROSS - CAMERA IMAGING APPLICATIONS" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 3832-3844
MLA Dr.K.Babu Rao, N.Pujitha, A.Madhu, SK.Ayesha sultana, and Y.SambaSiva rao. "UNSUPERVISED COLOR ALIGNMENT FOR CROSS - CAMERA IMAGING APPLICATIONS." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 3832-3844.
APA Dr.K.Babu Rao, N.Pujitha, A.Madhu, SK.Ayesha sultana, & Y.SambaSiva rao. (2024). UNSUPERVISED COLOR ALIGNMENT FOR CROSS - CAMERA IMAGING APPLICATIONS. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 3832-3844.
Chicago Dr.K.Babu Rao, N.Pujitha, A.Madhu, SK.Ayesha sultana, and Y.SambaSiva rao. "UNSUPERVISED COLOR ALIGNMENT FOR CROSS - CAMERA IMAGING APPLICATIONS." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 3832-3844.
Oxford Dr.K.Babu Rao, N.Pujitha, A.Madhu, SK.Ayesha sultana, and Y.SambaSiva rao. 'UNSUPERVISED COLOR ALIGNMENT FOR CROSS - CAMERA IMAGING APPLICATIONS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 3832-3844. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/UNSUPERVISED_COLOR_ALIGNMENT_FOR_CROSS___CAMERA__IMAGING_APPLICATIONS_ijariie23293.pdf (Accessed : ).
Harvard Dr.K.Babu Rao, N.Pujitha, A.Madhu, SK.Ayesha sultana, and Y.SambaSiva rao. (2024) 'UNSUPERVISED COLOR ALIGNMENT FOR CROSS - CAMERA IMAGING APPLICATIONS', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 3832-3844IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/UNSUPERVISED_COLOR_ALIGNMENT_FOR_CROSS___CAMERA__IMAGING_APPLICATIONS_ijariie23293.pdf (Accessed : )
IEEE Dr.K.Babu Rao, N.Pujitha, A.Madhu, SK.Ayesha sultana, and Y.SambaSiva rao, "UNSUPERVISED COLOR ALIGNMENT FOR CROSS - CAMERA IMAGING APPLICATIONS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 3832-3844, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/UNSUPERVISED_COLOR_ALIGNMENT_FOR_CROSS___CAMERA__IMAGING_APPLICATIONS_ijariie23293.pdf [Accessed : ].
Turabian Dr.K.Babu Rao, N.Pujitha, A.Madhu, SK.Ayesha sultana, and Y.SambaSiva rao. "UNSUPERVISED COLOR ALIGNMENT FOR CROSS - CAMERA IMAGING APPLICATIONS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Dr.K.Babu Rao, N.Pujitha, A.Madhu, SK.Ayesha sultana, and Y.SambaSiva rao. UNSUPERVISED COLOR ALIGNMENT FOR CROSS - CAMERA IMAGING APPLICATIONS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 3832-3844. Available from: https://ijariie.com/AdminUploadPdf/UNSUPERVISED_COLOR_ALIGNMENT_FOR_CROSS___CAMERA__IMAGING_APPLICATIONS_ijariie23293.pdf
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