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The performance of training dataset and test dataset.
(A) The accuracy of training dataset. (B) The loss of training dataset. (C) The AUC of test dataset. (D) The peak signal-to-noise ratio (PSNR) of Training dataset. (E)The structural similarity (SSIM) of Training dataset. (F) The loss of Training dataset.
HuanQing Xu (15419057) +3 more
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Image quality is relatively stable across time.
A: Dynamic range per recording. Lossless compressed data in blue, lossy in orange. Boxplots show the 95-percentile of the data. B: NIQE score for lossy (orange) and lossless (blue) compressed videos across time.
René Groh (13840039) +4 more
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Image Restoration Based on Stochastic Resonance in a Parallel Array of Fitzhugh–Nagumo Neuron
The poor denoising effect for noisy grayscale images with traditional processing methods would be obtained under strong noise condition, and some image details would be lost.
Huage Zhang +4 more
doaj +1 more source
Comparative Analysis of Filters for Cancellation of Power-line-interference of ECG Signal [PDF]
Filtering noises/artifacts from the electrocardiogram (ECG) can sustain the efficient clinical decision making. Comparative analysis of several filtering techniques is proposed: two adaptive noise cancellation techniques, Least Mean Square (LMS ...
Akash Kumar Bhoi +2 more
doaj +1 more source
Ultrasonic signal noise reduction based on convolutional autoencoders for NDT applications [PDF]
One of the most challenging problems of ultrasonic non-destructive testing is the signal distortion caused by the presence of noise, yielding the sound wave corruption and thus degrading the ultrasonic imaging technology performance due to Time of flight
Mansouri Nabil Jai +4 more
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Instant Image Denoising Plugin for ImageJ using Convolutional Neural Networks
We present a new convolutional neural network (CNN) based ImageJ plugin for fluorescence microscopy image denoising with an average improvement of 7.5 dB in peak signal-to-noise ratio (PSNR) and denoising instantly within 80 ...
Varun Mannam (11669200) +3 more
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Analisa Kinerja Pengkodean Kanal Type Reed Solomon Coding pada Kualitas Transmisi Citra
In the telecommunication systems, the data like audio, image, and video are transmitted to a receiver through a communication channel. However, the presence of noise and fading in the channel will degrade its performance. The degradation may cause error
Baharuddin Abbas
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AN OTSU image segmentation based on fruitfly optimization algorithm
Despite its simplicity and high accuracy, the real-time efficiency of OTSU segmentation is not high. In order to promote the real-timeliness of image segmentation, this paper introduces the fruitfly optimization algorithm (FOA) to OTSU segmentation ...
Chunyan Huang, Xiaorui Li, Yunliang Wen
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High Capacity Audio Steganography Based on Contourlet Transform [PDF]
The science of hiding information behind other cover media file is known steganography. Audio steganography means that a secret message is hidden by embedding it in an audio file.
Abbas Salman Hameed
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Image quality is an important parameter in object detection. Image with good quality will produce high accuracy in the object detection process. Image quality is measured using the peak signal comparison of the original image with the interference that occurs in the image. This comparison is formulated with the Peak Signal To Noise Ratio (PSNR).
openaire +1 more source

