Long-range infrared images are always suffering from dim targets and background clutters.
To improve the contrast between target and background, we propose a novel infrared image …

In this paper, we propose a novel low-level structure feature extraction for image processing
based on deep neural network, stacked sparse denoising autoencoder (SSDA). The current …

To enhance the regional feature preserving ability and guaranteed inclusion of complete
objects in the final fused images, this paper proposes a new image fusion method based on …

Theoretical analysis of the mechanical factors that cause the different failure modes of
surrounding rocks laboratorial model tests was carried out under four different stress …

Problems such as low contrast, noise, and edge blur are often encountered in color infrared
images produced by infrared cameras. To solve these problems, we propose a new image …

摘要提出一种消除阶梯效应与增强细节的变分Retinex 红外图像增强新算法.
将高斯曲率正则项应用到变分Retinex 模型的构建中, 采用一阶微分对模型添加细节增强约束项 …

Existing raw infrared image enhancement methods can effectively compress image and
improve contrast. However, there still exist limitations. First, enhanced images are often over …

Infrared images are often suffering from background noise, blurred edges, few details and
low signal-to-noise ratios. To improve infrared image quality, it is essential to suppress noise …

This paper presents a proposed approach for the enhancement of Infrared (IR) night vision
images. This approach is based on a trilateral contrast enhancement in which the IR night …

An infrared imaging sensor is sensitive to the variation of imaging environment, which may
affect the image quality and blur the edges in an infrared image. Therefore, it is necessary to …