Deriving filter parameters using dual-images for image de-noising

2007 ◽  
Author(s):  
Lingyu Wang ◽  
Graham Leedham ◽  
Siu-Yeung Cho
Keyword(s):  
Dual Images

scholarly journals Dual Shot Face Detecting using Deep Learning

2020 ◽  
Vol 8 (6) ◽  
pp. 5669-5672
Keyword(s):  
Deep Learning ◽  
High Dimensionality ◽  
Absolute Accuracy ◽  
Robust Method ◽  
Learning Technique ◽  
Benchmark Datasets ◽  
Dual Images ◽  
Preprocessing Technique ◽  
Day By Day ◽  
Feature Extraction Technique

In the paper, we have used a deep learning technique to identify dual faces i.e. nothing but detecting dual shot faces. As the data is emerging day by day with high dimensionality, recognizing dual faces is a major problem. So wasting time on identifying images is like fiddling around. In order to save time and get absolute accuracy we have implemented a fast preprocessing technique named as Convolutional Neural Network (CNN) along with feature extraction technique which is used to knob the relevant features to detect and identify images/faces. By performing this robust method, our intention is to detect dual images in an efficient way. This technique results in decreased feature cardinality and preserves unique efficiency of the data. The experiment is performed on extensive well liked face detecting benchmark datasets, Wider Face and FDDB. CNN with FE demonstrates the results with superiority and the accuracy was in-depth analyzed by CNN classifier.

Hybrid Image Illusion

2017 ◽  
Author(s):  
Aude Oliva ◽  
Philippe G. Schyns
Keyword(s):  
Visual Illusions ◽  
Viewing Distance ◽  
Image Size ◽  
Single Image ◽  
Double Image ◽  
Spatial Frequencies ◽  
Dual Images

Artists, designers, photographers, and visual scientists are routinely looking for ways to create, out of a single image, the feeling that there is more to see than what meets the eye. Many well-known visual illusions are dual in nature, causing the viewer to experience two different interpretations of the same image. Hybrid images illustrate a double-image illusion, where different images are perceived depending on viewing distance, viewing duration, or image size: one that appears when the image is viewed up-close (displaying high spatial frequencies) and another that appears from afar (showing low spatial frequencies). This method can be used to create compelling dual images in which the observer experiences different percepts when interacting with the image.

High-Efficiency Broadband Meta-Hologram with Polarization-Controlled Dual Images

Nano Letters ◽  
2013 ◽  
Vol 14 (1) ◽  
pp. 225-230 ◽  
Author(s):  
Wei Ting Chen ◽  
Kuang-Yu Yang ◽  
Chih-Ming Wang ◽  
Yao-Wei Huang ◽  
Greg Sun ◽  
...  
Keyword(s):  
High Efficiency ◽  
Dual Images

scholarly journals Reversible data hiding scheme based on pixel-value differencing in dual images

2020 ◽  
Vol 16 (7) ◽  
pp. 155014772091100
Author(s):  
Pyung-Han Kim ◽  
Kwan-Woo Ryu ◽  
Ki-Hyun Jung
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Data Extraction ◽  
Cover Image ◽  
Maximum Difference ◽  
Secret Data ◽  
Pixel Value ◽  
The Difference ◽  
Pixel Value Differencing ◽  
Dual Images

In this article, a new reversible data hiding scheme using pixel-value differencing in dual images is proposed. The proposed pixel-value differencing method can embed more secret data as the difference value of adjacent pixels is increased. In the proposed scheme, the cover image is divided into non-overlapping blocks and the maximum difference value is calculated to hide secret bits. On the sender side, the length of embeddable secret data is calculated by using the maximum difference value and the log function, and the decimal secret data are embedded into the two stego-images after applying the ceil function and floor function. On the receiver side, the secret data extraction and the cover image restoration can be performed by using the correlation between two stego-images. After recovering the cover image from two stego-images, the secret data can be extracted using the maximum difference value and the log function. The experimental results show that the proposed scheme has a higher embedding capacity and the proposed scheme differs in embedding the secret data depending on the characteristics of the cover image with less distortion. Also, the proposed scheme maintains the degree of image distortion that cannot be perceived by the human visual system.

scholarly journals Women/Warriors: Dual Images in Modern Thai Literature

MANUSYA ◽  
2000 ◽  
Vol 3 (2) ◽  
pp. 76-91
Author(s):  
Suvanna Kriengkraipetch
Keyword(s):  
The Other ◽  
Main Concept ◽  
Women Warriors ◽  
The Past ◽  
Dual Images ◽  
The Ideal ◽  
Thai Literature

This paper aims at studying the image of women in modern Thai literature, with emphasis on analyses of the image of woman and the image of warrior. The main concept is that the two images, which seem contradictory, have usually appeared together in Thai literature in the past as well as today. One image is oftentimes obvious while the other is underlying. Women in Thai literature is, thus, present dual images, while the image of the ideal women emphasizes womanhood which is inferior in status to manhood in all respects.

Reversibly hiding data using dual images scheme based on EMD data hiding method

2020 ◽  
Vol 21 (4) ◽  
pp. 583 ◽  
Author(s):  
Yu Chen ◽  
Jiangyi Lin ◽  
Chin Chen Chang ◽  
Yu Chen Hu
Keyword(s):  
Data Hiding ◽  
Dual Images

scholarly journals Dual Image Signature Method using DWT and SVD in YCbCr Colour Space

2019 ◽  
Vol 9 (1) ◽  
pp. 1471-1476
Keyword(s):  
Singular Values ◽  
Singular Value ◽  
Digital Data ◽  
Cover Image ◽  
Discrete Wavelet ◽  
Colour Space ◽  
Dual Image ◽  
Dual Images ◽  
Value Decomposition ◽  
Image Signature

The digital data can be easily modified and copied, so it is not secure, so owner authentication is required to prevent this unauthorised access of digital data. Image signature (water mark) is required to embed with digital data. The Discrete Wavelet Transform (DWT) supports image signature algorithms possess dual resolution attaining imperceptibility. The Singular Value Decomposition (SVD) supports to achieving the robustness in order to add the signature information to the singular values of the diagonal matrix.. In this work implementing dual image signature method using DWT and SVD in YCbCr colour space. The cover image is embedded with dual images to achieve better security from unauthorized persons. The proposed method improves the robustness and imperceptibility of the cover image.

Sign in / Sign up

Export Citation Format

Share Document