Results 131 to 140 of about 312,519 (176)

Multi-focus image fusion using fractal dimension

Applied Optics, 2020
Multi-focus image fusion is defined as “the combination of a group of partially focused images of a same scene with the objective of producing a fully focused image.” Normally, transform-domain-based image fusion methods preserve the textures and edges in the blend image, but many are translation variant. The translation-invariant
Chinmaya Panigrahy, Ayan Seal, Nihar Kumar Mahato, Ondrej Krejcar, Enrique Herrera-Viedma   +4 more
openaire   +2 more sources

Spatial domain multi-focus image fusion

2017 25th Signal Processing and Communications Applications Conference (SIU), 2017
One of the main problem of the optical imaging systems is limited depth of field which prevent from obtaining an all-in-focus image of the environment. This paper proposes a novel pixel-based multi-focus image fusion method making use of a series of multi-focus images to obtain an all-in-focus image.
Aslantas, VEYSEL, TOPRAK, AHMET NUSRET
openaire   +2 more sources

Superpixel-Based Multi-focus Image Fusion

2021
Due to the finite depth of field of optical lenses, it is difficult to make all objects in an image sharp and clear. Only objects within the depth of field are in focus and sharp, while the others are defocused and blurred. In this study, a superpixel-based multi-focus image fusion approach is proposed. First, each multi-focus source image is performed
Kuan-Ni Lai, Jin-Jang Leou
openaire   +1 more source

Multi-Focus Image Fusion of Digital Images

2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009
Image fusion is the process by which two or more images are combined into a single image, retaining the important features from each of the original images. The goal of Image Fusion (IF) is to integrate complementary multi-sensor, multi-temporal and/or multi-view information into one new image, the quality of which cannot be achieved otherwise.
Anjali Malviya, S.G. Bhirud
openaire   +1 more source

Salience Preserving Multi-Focus Image Fusion

Multimedia and Expo, 2007 IEEE International Conference on, 2007
This paper proposes a novel multi-focus image fusion algorithm. Different from traditional decision map based methods, our algorithm is based on salience preserving gradient, which can better emphasize the structure details of sources while preserving the color consistency.
Richang Hong, Chao Wang, Yong Ge, Meng Wang, Xiuqing Wu, Rong Zhang   +5 more
openaire   +1 more source

Multi-focus image fusion using PCNN

Pattern Recognition, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Zhaobin, Ma, Yide, Gu, Jason
openaire   +1 more source

Wavelet based multi-focus image fusion

2009 Proceeding of International Conference on Methods and Models in Computer Science (ICM2CS), 2009
Image fusion is the process by which two or more images are combined into a single image, retaining the important features from each of the original images. The goal of Image Fusion (IF) is to integrate complementary multi-sensor, multi-temporal and/or multi-view information into one new image, the quality of which cannot be achieved otherwise.
A. Malviya, S.G. Bhirud
openaire   +1 more source

Multi-image transformer for multi-focus image fusion

Signal Processing: Image Communication, 2023
Multi-Focus Image Fusion (MFIF) is an image enhancement task that fuses images in which different regions are in focus to achieve an all-in-focus image. In recent years, Generative Adversarial Networks (GANs)-based approaches have significantly improved the MFIF on Convolutional Neural Network (CNN) architectures.
openaire   +2 more sources

Multi-focus image fusion techniques: a survey

Artificial Intelligence Review, 2021
Multi-Focus Image Fusion (MFIF) is a method that combines two or more source images to obtain a single image which is focused, has improved quality and more information than the source images. Due to limited Depth-of-Field of the imagining system, extracting all the useful information from a single image is challenging.
Shiveta Bhat, Deepika Koundal
openaire   +1 more source

Compressive Sensing Multi-focus Image Fusion

2014
Based on the compressive sensing theory (CS), various compressive imaging (CI) systems have been developed. Meanwhile, image fusion methods that directly perform on the measurements from multiple CI sensors are also investigated in literatures. In this paper, we presented a multi-focus image fusion method in compressive sensing domain.
Fang Cheng, Bin Yang, Zhiwei Huang
openaire   +1 more source