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An efficient adaptive scaling factor for 4×4 DCT image watermarking
The imperceptibility and robustness properties of the watermarked image are the major requirements for maintaining the watermarked image similar to...
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A recent survey on image watermarking using scaling factor techniques for copyright protection
This survey presented a discussion of the existing scaling factor and adaptive scaling factor in image watermarking schemes. The discussion included...
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Privacy-Preserving Image Scaling Using Bicubic Interpolation and Homomorphic Encryption
With the advancement of cloud computing, outsourced image processing has become an attractive business model, but it also poses serious privacy...
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AFSDCGN: Adaptive Feature Scaling and Dynamic Contextual Graph Networks for image captioning with unseen relationship detection
Automated image captioning systems play a crucial role in various applications such as assistive technologies, content indexing, and robotics....
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Image Scaling by de la Vallée-Poussin Filtered Interpolation
We present a new image scaling method both for downscaling and upscaling, running with any scale factor or desired size. The resized image is...
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A novel gray-scale image watermarking framework using harmony search algorithm optimization of multiple scaling factors
A Digital image watermarking is a cutting-edge problem that deals with copyright protection, content authentication and ownership identification....
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Low-cost low-power approximated VLSI architecture for high-quality image scaling in mobile devices
This paper proposes three pipeline VLSI architectures for high-quality image scaling. The proposed architectures use low-complexity v-model spatial...
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Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets
Transformer-based architectures have seen widespread adoption recently for medical image segmentation. However, achieving performances equivalent to...
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MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation
There has been exploding interest in embracing Transformer-based architectures for medical image segmentation. However, the lack of large-scale...
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Scaling Laravel Applications
In the previous chapter, we delved into the essential aspects of performance monitoring and debugging in Laravel, ensuring the efficiency and...
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Rotation, scaling, and translation invariant an optimized and effective robust watermarking scheme
These days image processing technology has evolved a lot. Digital media can be distorted easily due to the availability of editing tools. So,...
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Image Comparison and Scaling via Nonlinear Elasticity
A nonlinear elasticity model for comparing images is formulated and analyzed, in which optimal transformations between images are sought as...
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Information Scaling
One important property of natural image data that distinguishes vision from other sensory tasks such as speech recognition is that scale plays an...
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Expanded Adaptive Scaling Normalization for End to End Image Compression
Recently, learning-based image compression methods that utilize convolutional neural layers have been developed rapidly. Rescaling modules such as...
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Scaling Open-Vocabulary Image Segmentation with Image-Level Labels
We design an open-vocabulary image segmentation model to organize an image into meaningful regions indicated by arbitrary texts. Recent works (CLIP...
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A bayesian-neural-networks framework for scaling posterior distributions over different-curation datasets
In this paper, we propose and experimentally assess an innovative framework for scaling posterior distributions over different-curation datasets,...
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Efficient rotated and scaled digital image retrieval model using deep learning-based hybrid features extraction
The previous couple decades have seen extensive study in digital image recovery. Content-based image retrieval finds intellectually and aesthetically...
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AMAS: Adaptive auto-scaling for edge computing applications
Edge computing offers a promising approach to building on-demand computing infrastructure, leveraging clusters of small, commodity-scale,...
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A review of image features extraction techniques and their applications in image forensic
In these modern days, digital images become prominent information on the Internet and Social Media. The images can have a number of features with...
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Mixture of histograms of autocorrelation based Chordiogram image descriptor for image retrieval
This work proposes a novel feature descriptor for places image retrieval and we named it as mixture of histograms of autocorrelation based...
