Results 61 to 70 of about 312,519 (176)
Image Fusion via Sparse Regularization with Non-Convex Penalties
, 2020 The L1 norm regularized least squares method is often used for finding sparse approximate solutions and is widely used in 1-D signal restoration. Basis pursuit denoising (BPD) performs noise reduction in this way.
Achim, Alin +3 more
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Multi-Focus Image Fusion Using the Local Fractal Dimension
International Journal of Advanced Robotic Systems, 2013 With the development of sensor and image-processing technology, image fusion has become a promising research field. Multi-focus image fusion is an important issue in multi-sensor image fusion. To make full use of the texture features of an image and take
Qingping Li, Junping Du, Liang Xu
doaj +1 more source
Efficient Bayesian-based Multi-View Deconvolution
, 2014 Light sheet fluorescence microscopy is able to image large specimen with high resolution by imaging the sam- ples from multiple angles. Multi-view deconvolution can significantly improve the resolution and contrast of the images, but its application has ...
AP Dempster +25 more
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Construction of All-in-Focus Images Assisted by Depth Sensing
Sensors, 2019 Multi-focus image fusion is a technique for obtaining an all-in-focus image in which all objects are in focus to extend the limited depth of field (DoF) of an imaging system.
Hang Liu +4 more
doaj +1 more source
Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based Algorithm
Measurement Science Review, 2014 In this paper, by considering the main objective of multi-focus image fusion and the physical meaning of wavelet coefficients, a discrete wavelet transform (DWT) based fusion technique with a novel coefficients selection algorithm is presented. After the
Yang Yong +3 more
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Multi-Focus Image Fusion Algorithm in Sensor Networks
IEEE Access, 2018 Most imaging systems have a limited depth-of-field in the sensor networks that consist of multiple visual sensors. Due to different object distances, not every object can be clearly imaged by a single sensor.
Ying Tong, Jin Chen
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Long-Term Image Boundary Prediction
, 2017 Boundary estimation in images and videos has been a very active topic of research, and organizing visual information into boundaries and segments is believed to be a corner stone of visual perception. While prior work has focused on estimating boundaries
Bhattacharyya, Apratim +3 more
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Multi-focus Image Fusion: A Benchmark
, 2020 Multi-focus image fusion (MFIF) has attracted considerable interests due to its numerous applications. While much progress has been made in recent years with efforts on developing various MFIF algorithms, some issues significantly hinder the fair and comprehensive performance comparison of MFIF methods, such as the lack of large-scale test set and the ...
openaire +2 more sources
Multimodal Deep Learning for Robust RGB-D Object Recognition
, 2015 Robust object recognition is a crucial ingredient of many, if not all, real-world robotics applications. This paper leverages recent progress on Convolutional Neural Networks (CNNs) and proposes a novel RGB-D architecture for object recognition.
Burgard, Wolfram +4 more
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Interest Points as a Focus Measure in Multi-Spectral Imaging [PDF]
, 2013 A novel multi-spectral focus measure that is based on algorithms for interest point detection, particularly on the FAST (Features from Accelerated Segment Test), Fast Hessian and Harris-Laplace detector, is described in this paper.
Cika, P. +3 more
core +1 more source