M. Axelsson, "An evaluation of scale and noise sensitivity of fibre orientation estimation in volume images," in International Conference on Image Analysis and Processing, Lecture Notes in Computer Science, vol. 5716, pp. 975-984, 2009.
In a second step a histogram of local signal variances is computed. Finally a statistical evaluation of the histogram provides the desired estimation value. For a comparison with several previously published estimation methods an ensemble of 128 natural and artificial test images is used. It is ...
In this paper, a new effective noise level estimation method is proposed on the basis of the study of singular values of noise-corrupted images. Two novel aspects of this paper address the major challenges in noise estimation: 1) the use of the tail of singular values for noise estimation ...
Contrastive representation learning has proven to be an effective self-supervised learning method for images and videos. Most successful approaches are based on Noise Contrastive Estimation (NCE) and use different views of an instance as positives that should be contrasted with other instances, called ...
A larger convolution kernel can reduce the impact of noise. The effect of the number of convolution layers on the result error is shown in Fig. 1. It can be seen that the network with 5 convolutional layers has the best performance. Fig. 1 The effect of the number of convolutional ...
Quantum computers provide a valuable resource to solve computational problems. The maximization of the objective function of a computational problem is a crucial problem in gate-model quantum computers. The objective function estimation is a high-cost pr
As images are subject to noise and illuminance changes, similarity measures need to be robust. Additionally, there are also similarity measures defined on images of different modalities. Secondly, we discuss parametric deformation models in Section 4. These models significantly improve motion estimation ...
This paper tackles the challenge of accurate depth estimation from monocular laparoscopic images in dynamic surgical environments. The lack of reliable ground truth due to inconsistencies within these images makes this a complex task. Further complicating the learning process is the presence of noise ele...
WG: waveform generator; PA: pre-amplifier; LNA: low-noise amplifier; LPF: low-pass filter; DSP: digital signal processing unit; ADC: analogue–digital-converter; TX/RX: transmitting/receiving antennas. The blue and red enclosing is the photo of the FMCW radar and the camera used in the ...
Although many supplementary techniques have been presented in the literature, the errors caused due to magnetic disturbances, drift, and noise of wearable kinematics sensors are not fully addressed4. In efforts to minimize the number of kinematics sensors and associated drawbacks, attention has turned ...