Results 11 to 20 of about 9,112 (254)
WRITER IDENTIFICATION: THE EFFECT OF IMAGE RESIZING ON CNN PERFORMANCE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Introducing Deep Learning has been successful in improving the performance of automated writer identification systems. However, using very large patch sizes as input to CNN consumes a lot of machine resources and requires a lot of training time.
A. Semma +4 more
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GRAFT: Unsupervised Adaptation to Resizing for Detection of Image Manipulation
IEEE Access, 2020 A large number of methods for forensics of image manipulation relies on detecting fingerprints in residuals or noises. Therefore, these detection methods are bound to be sensitive to noise generated by the image acquisition process, as well as any pre ...
Ludovic Darmet, Kai Wang, Francois Cayre
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Detection of Tampering by Image Resizing Using Local Tchebichef Moments
Applied Sciences, 2019 There are many image resizing techniques, which include scaling, scale-and-stretch, seam carving, and so on. They have their own advantages and are suitable for different application scenarios.
Dengyong Zhang +5 more
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Region Based Non-Uniform Scheme for Effective Retargeting
International Journal of Emerging Research in Engineering, Science, and Management, 2022 With the invent of displays of varied features like bendable displays, twistable displays and slant displays the feed of these displays need to be adjusted so that useful objects of the scene are not destroyed.
Ethireddy Sasikala Reddy +4 more
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Multi-Scale CNN for Fine-Grained Image Recognition
IEEE Access, 2020 Most conventional fine-grained image recognitions are based on a two-stream model of object-level and part-level CNNs, where the part-level CNN is responsible for learning the object-parts and their spatial relationships.
Chee Sun Won
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A Detection Method of Operated Fake-Images Using Robust Hashing
Journal of Imaging, 2021 SNS providers are known to carry out the recompression and resizing of uploaded images, but most conventional methods for detecting fake images/tampered images are not robust enough against such operations.
Miki Tanaka, Sayaka Shiota, Hitoshi Kiya
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Image resizing using fuzzy inferences [PDF]
IET Image Processing, 2019 Here, the authors present a fuzzy‐based approach for image resizing. The authors introduce a new approach for improving the gradient map and saliency map. Authors’ approach first constructs three different sizes of structural elements, which are used for the operation of close–open filtering to process the input image to obtain three smooth images ...
Liu, C.-Y. +3 more
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Impact of eye fundus image preprocessing on key objects segmentation for glaucoma identification
Nonlinear Analysis, 2023 The pathological changes in the eye fundus image, especially around Optic Disc (OD) and Optic Cup (OC) may indicate eye diseases such as glaucoma. Therefore, accurate OD and OC segmentation is essential.
Sandra Virbukaitė +1 more
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Image classification adversarial attack with improved resizing transformation and ensemble models [PDF]
PeerJ Computer Science, 2023 Convolutional neural networks have achieved great success in computer vision, but incorrect predictions would be output when applying intended perturbations on original input.
Chenwei Li +3 more
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CarvingNet: Content-Guided Seam Carving Using Deep Convolution Neural Network
IEEE Access, 2019 We propose an improved content-aware image resizing method that uses deep learning. The proposed method is extended from seam carving, which is another image resizing method. Seam carving uses the energy map from an image.
Eungyeol Song, Minkyu Lee, Sangyoun Lee
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