71 citations · 304 across the 98 of their papers we have counts for
18 papers · 1 filter
Grayscale-Based Image Encryption Considering Color Sub-sampling Operation for Encryption-then-Compression Systems
Warit Sirichotedumrong, Tatsuya Chuman, Hitoshi Kiya
A new grayscale-based block scrambling image encryption scheme is presented to enhance the security of Encryption-then-Compression (EtC) systems, which are used to securely transmi…
Compressible and Learnable Encryption for Untrusted Cloud Environments
Hitoshi Kiya
With the wide/rapid spread of distributed systems for information processing, such as cloud computing and social networking, not only transmission but also processing is done on th…
A Retinex-based Image Enhancement Scheme with Noise Aware Shadow-up Function
Chien Cheng Chien, Yuma Kinoshita, Sayaka Shiota +1
This paper proposes a novel image contrast enhancement method based on both a noise aware shadow-up function and Retinex (retina and cortex) decomposition. Under low light conditio…
Encryption-then-Compression Systems using Grayscale-based Image Encryption for JPEG Images
Tatsuya Chuman, Warit Sirichotedumrong, Hitoshi Kiya
A block scrambling-based encryption scheme is presented to enhance the security of Encryption-then-Compression (EtC) systems with JPEG compression, which allow us to securely trans…
Compression Performance of Grayscale-based Image Encryption for Encryption-then-Compression Systems
Warit Sirichotedumrong, Tatsuya Chuman, Hitoshi Kiya
This paper considers a new grayscale-based image encryption for Encryption-then-Compression (EtC) systems with JPEG compression. Firstly, generation methods of grayscale-based imag…
Image Manipulation Specifications on Social Networking Services for Encryption-then-Compression Systems
Tatsuya Chuman, Kenta Iida, Warit Sirichotedumrong +1
Encryption-then-Compression (EtC) systems have been proposed to securely transmit images through an untrusted channel provider. In this study, EtC systems were applied to social me…
Privacy-Preserving SVM Computing by Using Random Unitary Transformation
Takahiro Maekawa, Takayuki Nakachi, Sayaka Shiota +1
A privacy-preserving Support Vector Machine (SVM) computing scheme is proposed in this paper. Cloud computing has been spreading in many fields. However, the cloud computing has so…
Robust Image Identification for Double-Compressed and Resized JPEG Images
Kenta Iida, Hitoshi Kiya
In the case that images are shared via social networking services (SNS) and cloud photo sharing services (CPSS), it is known that the JPEG images uploaded to the services are often…
Bitstream-Based JPEG Image Encryption with File-Size Preserving
Hiroyuki Kobayashi, Hitoshi Kiya
An encryption scheme of JPEG images in the bitstream domain is proposed. The proposed scheme preserves the JPEG format even after encrypting the images, and the file size of encryp…
Security Evaluation for Block Scrambling-Based Image Encryption Including JPEG Distortion against Jigsaw Puzzle Solver Attacks
Tatsuya Chuman, Hitoshi Kiya
Encryption-then-Compression (EtC) systems have been considered for the user-controllable privacy protection of social media like Twitter. The aim of this paper is to evaluate the s…
Two-Layer Lossless HDR Coding using Histogram Packing Technique with Backward Compatibility to JPEG
Osamu Watanabe, Hiroyuki Kobayashi, Hitoshi Kiya
An efficient two-layer coding method using the histogram packing technique with the backward compatibility to the legacy JPEG is proposed in this paper. The JPEG XT, which is the i…
A Pseudo Multi-Exposure Fusion Method Using Single Image
Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya
This paper proposes a novel pseudo multi-exposure image fusion method based on a single image. Multi-exposure image fusion is used to produce images without saturation regions, by…
Two-layer Lossless HDR Coding considering Histogram Sparseness with Backward Compatibility to JPEG
Osamu Watanabe, Hiroyuki Kobayashi, Hitoshi Kiya
An efficient two-layer coding method using the histogram packing technique with the backward compatibility to the legacy JPEG is proposed in this paper. The JPEG XT, which is the i…
Robust Image Identification for Double-Compressed JPEG Images
Kenta Iida, Hitoshi Kiya
It is known that JPEG images uploaded to social networks (SNs) are mostly re-compressed by the social network providers. Because of such a situation, a new image identification sch…
Multi-Exposure Image Fusion Based on Exposure Compensation
Yuma Kinoshita, Taichi Yoshida, Sayaka Shiota +1
This paper proposes a novel multi-exposure image fusion method based on exposure compensation. Multi-exposure image fusion is a method to produce images without color saturation re…
Grayscale-based Block Scrambling Image Encryption for Social Networking Services
Warit Sirichotedumrong, Tatsuya Chuman, Shoko Imaizumi +1
This paper proposes a new block scrambling encryption scheme that enhances the security of encryption-then-compression (EtC) systems for JPEG images, which are used, for example, t…
Super-Resolution using Convolutional Neural Networks without Any Checkerboard Artifacts
Yusuke Sugawara, Sayaka Shiota, Hitoshi Kiya
It is well-known that a number of excellent super-resolution (SR) methods using convolutional neural networks (CNNs) generate checkerboard artifacts. A condition to avoid the check…
Automatic Exposure Compensation for Multi-Exposure Image Fusion
Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya
This paper proposes a novel luminance adjustment method based on automatic exposure compensation for multi-exposure image fusion. Multi-exposure image fusion is a method to produce…