摘要: Pixel-shuffle patching preserves the spatial relations in contrast to the standard image patching.Pixel-shuffling is more efficient than the image patching in image classification.The proposed SA-ConvMixer can efficiently learn the segmentation and depth estimation tasks....
The adoption of pixel shuffling can eliminate the image outlines, but cannot disrupt the characteristics of gray-level spectrum. Since a chaotic system is highly sensitive to the initial values and the chaotic trajectory is unpredictable, the application of this method to communication encryption and ...
“Linear pixel shuffling for image processing: an introduction”. Electron, Image, Vol. 2 (1993): pp. 147–154. CrossRef Anderson, Peter G. “Multiple dimensional golden means”. Applications of Fibonacci Numbers. Volume 5. Edited by G.E. Bergum, A.N. Philippou and A.F. Horadam, ...
Pixel-shuffle patching preserves the spatial relations in contrast to the standard image patching.Pixel-shuffling is more efficient than the image patching in image classification.The proposed SA-ConvMixer can efficiently learn the segmentation and depth estimation tasks....
To address these issues, we propose a partial reversible data hiding in encrypted images (PR-DHEI) based on pixel-shuffling, which provides an average data embedding rate (ER) of 0.64 bits per pixel without data loss. A new complexity measure is proposed to recover the image blocks with ...
Security in e-healthcare applications such as Telemedicine is crucial in safeguarding patients’ sensitive data during transmission. The proposed system measures the patient’s health parameters, such as body temperature and pulse rate, using LM35 and pu
This paper deals with encryption of grayscale images using shuffling of sub-matrices of pixels. The idea is simple yet provides great security. The grayscale image to encrypt is converted into a matrix of grayscale values. Then depending upon level of encryption required the depth of encryption...
Pixel shuffle upsampling (PSUP)Lesion area segmentation is a prerequisite for computer-aided clinical diagnosis. Although deep learning-based techniques have significantly advanced the field, most of them suffer from fine-grained feature loss during the encoder-decoder feature fusion, especially when ...
The pixel is the smallest element of an image that can be isolated and still contains the characteristic found in the image. The RGB values are shifted out of their native pixel positions and interchanged within the image boundaries. The Shift displacement of the R, G and B Values known as...
Pixel shuffling • Gray-level encryptionChaotic systemCorrelation coefficientEntropyImplementation of Color Image Encryption in Gray Level by Using Pixel Shuffling and Single Chaotic Systemdoi:50283Vishwajyoti PhulariPrabhavathi KInternational Journal of Innovative Research & Development...