J
Jay Amin
Publications - 6
Citations - 3
Jay Amin is an academic researcher. The author has contributed to research in topics: Digital watermarking & Watermark. The author has an hindex of 1, co-authored 6 publications receiving 3 citations.
Papers
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Journal Article
Handwritten Gujarati text recognition using artificial neural network and Error correction using Probabilistic Neural network in recognized text
Sagar S.Dutt,Jay Amin +1 more
TL;DR: Here the authors will talk about the Handwritten gujarati character recognition using Artificial neural network and error correction using probabilistic neural network.
Journal Article
A-review Compression of Hyperspectralimage using Compressive Sensing
Dhwani Sarvaiya,Jay Amin +1 more
TL;DR: In this article, a novel approach for compression of hyperspectral images is described using compressive sensing is adopted in latest signal processing technique for acquiring and recovering a sparse signal in the most efficient way possible with the help of an incoherent projecting basis.
Journal Article
Multiple Kernel Regression Based Image Resolution for JPEG Images
Archi Prajapati,Jay Amin +1 more
TL;DR: This approach’s core is to learn the map between the map of high resolution image patches and the space of blurred image patches, which is the interpolation result generated from corresponding low-resolution image.
Journal Article
Hybrid Approach for Robust Digital Video Watermarking.
Shikha Choudhary,Jay Amin +1 more
TL;DR: Experimental results show the watermarked frames are indistinguishable from the original frames subjectively and demonstrate the effectiveness of the proposed algorithm against the geometric attacks such as blurring, rotating and salt and pepper.
Journal Article
Alpha Channel base Data Hiding using Compressive Sensing
Ripal Patel,Jay Amin +1 more
TL;DR: This work has proposed different color image watermarking frameworks for embedding a color watermark within a color input image and used the compressive sensing (CS) method that provides reconstruction of the signal/image.