activity
20182023
most citedScene Segmentation-Based Luminance Adjustment for Multi-Exposure Image Fusion

71 citations · 304 across the 98 of their papers we have counts for

collaborators
Showing 2019 · eess.IVShow all

10 papers · 2 filters

eess.IV2019★ 3 cited

An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures

Chihiro Go, Yuma Kinoshita, Sayaka Shiota +1

This paper proposes a novel multi-exposure image fusion (MEF) scheme for single-shot high dynamic range imaging with spatially varying exposures (SVE). Single-shot imaging with SVE…

eess.IV2019★ 5 cited

A hue-preserving tone mapping scheme based on constant-hue plane without gamut problem

Yuma Kinoshita, Kouki Seo, Artit Visavakitcharoen +1

We propose a novel hue-preserving tone mapping scheme. Various tone mapping operations have been studied so far, but there are very few works on color distortion caused in image to…

eess.IV2019

Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures Considering Hue Distortion

Chihiro Go, Yuma Kinoshita, Sayaka Shiota +1

We proposes a novel single-shot high dynamic range imaging scheme with spatially varying exposures (SVE) considering hue distortion. Single-shot imaging with SVE enables us to capt…

eess.IV2019

Adversarial Test on Learnable Image Encryption

MaungMaung AprilPyone, Warit Sirichotedumrong, Hitoshi Kiya

Data for deep learning should be protected for privacy preserving. Researchers have come up with the notion of learnable image encryption to satisfy the requirement. However, exist…

eess.IV2019★ 1 cited

A Color Compensation Method Using Inverse Camera Response Function for Multi-exposure Image Fusion

Artit Visavakitcharoen, Yuma Kinoshita, Hitoshi Kiya

Multi-exposure image fusion is a method for producing an image with a wide dynamic range by fusing multiple images taken under various exposure values. In this paper, we discuss co…

eess.IV2019

Performance Evaluation of Two-layer lossless HDR Coding using Histogram Packing Technique under Various Tone-mapping Operators

Hiroyuki Kobayashi, Hitoshi Kiya

We proposed a lossless two-layer HDR coding method using a histogram packing technique. The proposed method was demonstrated to outperform the normative JPEG XT encoder, under the…

eess.IV2019★ 2 cited

An Image Identification Scheme of Encrypted JPEG Images for Privacy-Preserving Photo Sharing Services

Kenta Iida, Hitoshi Kiya

We propose an image identification scheme for double-compressed encrypted JPEG images that aims to identify encrypted JPEG images that are generated from an original JPEG image. To…

eess.IV2019★ 2 cited

Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG

Hiroyuki Kobayashi, Osamu Watanabe, Hitoshi Kiya

We propose an efficient two-layer near-lossless coding method using an extended histogram packing technique with backward compatibility to the legacy JPEG standard. The JPEG XT, wh…

eess.IV2019

Convolutional Neural Networks Considering Local and Global features for Image Enhancement

Yuma Kinoshita, Hitoshi Kiya

In this paper, we propose a novel convolutional neural network (CNN) architecture considering both local and global features for image enhancement. Most conventional image enhancem…

eess.IV2019★ 4 cited

Deep Inverse Tone Mapping Using LDR Based Learning for Estimating HDR Images with Absolute Luminance

Yuma Kinoshita, Hitoshi Kiya

In this paper, a novel inverse tone mapping method using a convolutional neural network (CNN) with LDR based learning is proposed. In conventional inverse tone mapping with CNNs, g…