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Title: :  RECOLORED IMAGE DETECTION VIA A DEEP DISCRIMINATIVE MODEL
PaperId: :  16112
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 2 2022
DUI:    16.0415/IJARIIE-16112
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Manipatruni PratyushaRaghu Institute Of Technology , Visakhapatnam , AP , India .
N.Uday kumarudaytheboss@gmail.com

Abstract

Computer Science
python,Django,GUI,windows OS,OPENCV,Tensorflow,HTML,CSS,Javascript etc
Near duplicate image detection needs the matching of a bit altered images to the original image. This will help in the detection of forged images. A great deal of effort has been dedicated to visual applications that need efficient image similarity metrics and signature. Digital images can be easily edited and manipulated owing to the great functionality of image processing software. This leads to the challenge of matching somewhat altered images to their originals, which is termed as near duplicate image detection. This paper discusses the literature reviewed on the development of several image matching algorithms. Image recoloring is a technique that can transfer image color or theme and result in an imperceptible change in human eyes. Although image recoloring is one of the most important image manipulation techniques, there is no special method designed for detecting this kind of forgery. In this paper, we propose a trainable end-to-end system for distinguishing recolored images from natural images. The proposed network takes the original image and two derived inputs based on illumination consistency and inter-channel correlation of the original input into consideration and outputs the probability that it is recolored. Our algorithm adopts a CNN-based deep architecture, which consists of three feature extraction blocks and a feature fusion module. To train the deep neural network, we synthesize a dataset comprised of recolored images and corresponding ground truth using different recoloring methods. Extensive experimental results on the recolored images generated by various methods show that our proposed network is well generalized and much robust.

Citations

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IJARIIE Manipatruni Pratyusha, and N.Uday kumar. "RECOLORED IMAGE DETECTION VIA A DEEP DISCRIMINATIVE MODEL" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 2 2022 Page 138-144
MLA Manipatruni Pratyusha, and N.Uday kumar. "RECOLORED IMAGE DETECTION VIA A DEEP DISCRIMINATIVE MODEL." International Journal Of Advance Research And Innovative Ideas In Education 8.2(2022) : 138-144.
APA Manipatruni Pratyusha, & N.Uday kumar. (2022). RECOLORED IMAGE DETECTION VIA A DEEP DISCRIMINATIVE MODEL. International Journal Of Advance Research And Innovative Ideas In Education, 8(2), 138-144.
Chicago Manipatruni Pratyusha, and N.Uday kumar. "RECOLORED IMAGE DETECTION VIA A DEEP DISCRIMINATIVE MODEL." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 2 (2022) : 138-144.
Oxford Manipatruni Pratyusha, and N.Uday kumar. 'RECOLORED IMAGE DETECTION VIA A DEEP DISCRIMINATIVE MODEL', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 2, 2022, p. 138-144. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/RECOLORED_IMAGE_DETECTION_VIA_A_DEEP_DISCRIMINATIVE_MODEL_ijariie16112.pdf (Accessed : 06 August 2023).
Harvard Manipatruni Pratyusha, and N.Uday kumar. (2022) 'RECOLORED IMAGE DETECTION VIA A DEEP DISCRIMINATIVE MODEL', International Journal Of Advance Research And Innovative Ideas In Education, 8(2), pp. 138-144IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/RECOLORED_IMAGE_DETECTION_VIA_A_DEEP_DISCRIMINATIVE_MODEL_ijariie16112.pdf (Accessed : 06 August 2023)
IEEE Manipatruni Pratyusha, and N.Uday kumar, "RECOLORED IMAGE DETECTION VIA A DEEP DISCRIMINATIVE MODEL," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 2, pp. 138-144, Mar-App 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/RECOLORED_IMAGE_DETECTION_VIA_A_DEEP_DISCRIMINATIVE_MODEL_ijariie16112.pdf [Accessed : 06 August 2023].
Turabian Manipatruni Pratyusha, and N.Uday kumar. "RECOLORED IMAGE DETECTION VIA A DEEP DISCRIMINATIVE MODEL." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 2 (06 August 2023).
Vancouver Manipatruni Pratyusha, and N.Uday kumar. RECOLORED IMAGE DETECTION VIA A DEEP DISCRIMINATIVE MODEL. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 06 August 2023]; 8(2) : 138-144. Available from: https://ijariie.com/AdminUploadPdf/RECOLORED_IMAGE_DETECTION_VIA_A_DEEP_DISCRIMINATIVE_MODEL_ijariie16112.pdf
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