We propose a novel method for adjusting luminance for multi-exposure image fusion. For
the adjustment, two novel scene segmentation approaches based on luminance distribution …

This paper presents a literature review on the method of measuring high dynamic range
(HDR) image quality. HDR technology can help maximize user satisfaction level when using …

In this paper, we propose a novel inverse tone map** network, called “iTM-Net.” For
training iTM-Net, we also propose a novel loss function that considers the non-linear relation …

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 …

In this paper we propose a novel approximate floating-point divider based on bidimensional
linear approximation. In our approach, the mantissa quotient is seen as a function of the two …

In this paper a novel low-power approximate floating-point multiplier is presented. Since the
mantissa computation is responsible for the largest part of the power consumption, we apply …

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

The inverse tone map** (iTM) technique that produces a high dynamic range (HDR)
image from one single standard dynamic range (SDR) image has received much attention in …

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 …

This paper proposes a novel pseudo multi-exposure image fusion based on a single image.
Multi-exposure image fusion is a method to produce images without saturation regions, by …