Image Decomposition and Inpainting Based on Besov and Hilbert-Sobolev Space

2014 ◽  
Vol 599-601 ◽  
pp. 1857-1862
Author(s):  
Zhu Qin Liu
Keyword(s):  
Sobolev Space ◽  
Besov Space ◽  
Signal To Noise Ratio ◽  
Image Decomposition ◽  
Experimental Results ◽  
Signal To Noise ◽  
Visual Effect ◽  
Structure Information ◽  
Basic Characteristics ◽  
Application Requirements

An image is decomposed into structure and texture adopt Meyer model , In order to more effectively express the characteristics of the image ,a schem is proposed that structure and texture described use Besov space and Hilbert-Sobolev space respectively,and different inpainting methods is adopt for structure and texture .Experimental results show that the algorithm calculated simple, easy to implement ,Smoothness and structure information, such as the basic characteristics of the image portrayed to meet the application requirements and inpaint results in low signal-to-noise ratio, the visual effect is superior to the similar method.

scholarly journals Weights-Based Image Demosaicking Using Posteriori Gradients and the Correlation of R–B Channels in High Frequency

Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 600
Author(s):  
Meidong Xia ◽  
Chengyou Wang ◽  
Wenhan Ge
Keyword(s):  
High Frequency ◽  
Signal To Noise Ratio ◽  
Experimental Results ◽  
Color Filter ◽  
Signal To Noise ◽  
Visual Effect ◽  
B Values ◽  
Bayer Pattern ◽  
Filter Array ◽  
Composite Peak

In this paper, we propose a weights-based image demosaicking algorithm which is based on the Bayer pattern color filter array (CFA). When reconstructing the missing G components, the proposed algorithm uses weights based on posteriori gradients to mitigate color artifacts and distortions. Furthermore, the proposed algorithm makes full use of the correlation of R–B channels in high frequency when interpolating R/B values at B/R positions. Experimental results show that the proposed algorithm is superior to previous similar algorithms in composite peak signal-to-noise ratio (CPSNR) and subjective visual effect. The biggest advantage of the proposed algorithm is the use of posteriori gradients and the correlation of R–B channels in high frequency.

scholarly journals An Image Denoising Algorithm Based On Curvelet Transform

2016 ◽  
Vol 12 (1) ◽  
pp. 5827-5831
Author(s):  
Yin Kaikai ◽  
Su Bo
Keyword(s):  
Mathematical Method ◽  
Wavelet Transform ◽  
Image Denoising ◽  
Signal To Noise Ratio ◽  
Curvelet Transform ◽  
Experimental Results ◽  
High Peak ◽  
Signal To Noise ◽  
Visual Effect ◽  
Good Image

Aiming at the limitations of the wavelet transform in image denoising, this paper proposes a new image denoising algorithm based on curvelet transform mathematical method. In this paper, the feasibility of this method is proved by the experimental results. The experiment result shows that, using the proposed new algorithm can get high peak signal to noise ratio, visual effect is very good image.

OPTICAL PROCESSING WITH PHOTOREFRACTIVE COMPOUND SEMICONDUCTORS

1992 ◽  
Vol 01 (03) ◽  
pp. 609-638
Author(s):  
L.J. CHENG ◽  
D.T.H. LIU ◽  
K.L. LUKE
Keyword(s):  
Semiconductor Lasers ◽  
Signal To Noise Ratio ◽  
Compound Semiconductors ◽  
Experimental Results ◽  
Response Compatibility ◽  
Cross Polarization ◽  
Optical Processing ◽  
Signal To Noise ◽  
Material Response ◽  
Noise Ratio

Photorefractive compound semiconductors are attractive for optical processing because of fast material response, compatibility with semiconductor lasers, and availability of cross polarization diffraction for enhancing signal-to-noise ratio. This paper presents a collection of recent experimental results on optical processing using photorefractive GaAs and InP. The results demonstrate the feasibility of using photorefractive compound semiconductors as dynamic holographic interaction media for optical processing applications.

scholarly journals An Adaptive Image Inpainting Method Based on Continued Fractions Interpolation

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Lei He ◽  
Yan Xing ◽  
Kangxiong Xia ◽  
Jieqing Tan
Keyword(s):  
Continued Fractions ◽  
State Of The Art ◽  
Signal To Noise Ratio ◽  
Subjective Evaluation ◽  
Image Inpainting ◽  
Rational Interpolation ◽  
Objective Evaluation ◽  
Experimental Results ◽  
Signal To Noise

In view of the drawback of most image inpainting algorithms by which texture was not prominent, an adaptive inpainting algorithm based on continued fractions was proposed in this paper. In order to restore every damaged point, the information of known pixel points around the damaged point was used to interpolate the intensity of the damaged point. The proposed method included two steps; firstly, Thiele’s rational interpolation combined with the mask image was used to interpolate adaptively the intensities of damaged points to get an initial repaired image, and then Newton-Thiele’s rational interpolation was used to refine the initial repaired image to get a final result. In order to show the superiority of the proposed algorithm, plenty of experiments were tested on damaged images. Subjective evaluation and objective evaluation were used to evaluate the quality of repaired images, and the objective evaluation was comparison of Peak Signal to Noise Ratios (PSNRs). The experimental results showed that the proposed algorithm had better visual effect and higher Peak Signal to Noise Ratio compared with the state-of-the-art methods.

scholarly journals Variable Length Reconfigurable Algorithms and Architectures for DCT/IDCT Based on Modified Unfolded Cordic

2013 ◽  
Vol 7 (1) ◽  
pp. 71-81 ◽  
Author(s):  
Hai Huang ◽  
Liyi Xiao
Keyword(s):  
Digital Computer ◽  
Signal To Noise Ratio ◽  
Variable Length ◽  
Experimental Results ◽  
Signal To Noise ◽  
Arithmetic Sequence ◽  
Coordinate Rotation ◽  
Speed Up ◽  
Orthogonal Property ◽  
Higher Regularity

A coordinate rotation digital computer (CORDIC) based variable length reconfigurable DCT/IDCT algorithm and corresponding architecture are proposed. The proposed algorithm is easily to extend to the 2n-point DCT/IDCT. Furthermore, we can easily construct the N-point DCT/IDCT with two N/2-pt DCTs/IDCTs based the proposed algorithm. The architecture based on the proposed algorithm can support several power-of-two transform sizes. To speed up the computation of DCT/IDCT without losing accuracy, we develop the modified unfolded CORDIC with the efficient carry save adder (CSA). The rotation angles of CORDIC used in proposed algorithm are arithmetic sequence. For convenience, we develop the architecture of N-point IDCT with the orthogonal property of DCT and IDCT transforms. The proposed architecture are modeled with MATLAB language and performed in DCT-based JPEG process, the experimental results show that the peak signal to noise ratio (PSNR) values of proposed architectures are higher than the existing CORDIC based architectures at both different quantization factors and different test images. Furthermore, the proposed architectures have higher regularity, modularity, computation accuracy and suitable for VLSI implementation.

Lossless Steganography on Orthogonal Vector for 3D H.264 with Limited Distortion Diffusion

2021 ◽  
Author(s):  
Juan Zhao ◽  
Zhitang Li
Keyword(s):  
Discrete Cosine Transform ◽  
Signal To Noise Ratio ◽  
Experimental Results ◽  
Signal To Noise ◽  
Cosine Transform ◽  
Orthogonal Vector ◽  
Leibler Divergence ◽  
Transform Coefficients ◽  
Distortion Drift ◽  
Limited Distortion

In order to improve the undetectability, a lossless algorithm based on orthogonal vectors with limited distortion diffusion for 3D H.264 video is proposed in this paper. Inter-view distortion drift is avoided by embedding data into frames, which do not predict other views. Three conditions and pairs of coefficients are proposed to prevent intra-frame distortion diffusion. Several quantized discrete cosine transform coefficients are chosen from an embeddable luminance 4×4 block to construct a carrier vector, which is modified by an offset vector. When the carrier vector and the offset vector are orthogonal or near to be orthogonal, a data bit can be hidden. Experimental results indicate that the method is effective by enhancing peak signal-to-noise ratio with 7.5dB and reducing the Kullback-Leibler divergence with 0.07 at least. More than 1.7×1015 ways could be utilized for constructing the vectors, so it is more difficult for others to steal data.

scholarly journals X-Ray Pulsar Profile Recovery Based on Tracking-Differentiator

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Dapeng Zhang ◽  
Wei Zheng ◽  
Yidi Wang ◽  
Lu Zhang
Keyword(s):  
Simulation Experiment ◽  
Signal To Noise Ratio ◽  
Time Of Arrival ◽  
Signal To Noise ◽  
Important Work ◽  
X Ray ◽  
Tracking Differentiator ◽  
Cascade Structure ◽  
Simulation Results ◽  
Application Requirements

The profile recovery is an important work in X-ray pulsar-based navigation. It is a key step for the analysis on the pulsar signal’s characteristic and the computing of time of arrival (TOA). This paper makes an argument for an algorithm based on the tracking-differentiator (TD) to recover the profile from the low Signal-to-Noise Ratio (SNR) signals. In the method, a TD filter with cascade structure is designed which has very low phase delay and amplitude distortion. In the simulation experiment, two typical pulsars (PSR B0531+21 and PSR B1937+21) are used to verify the algorithm’s performance. The simulation results show that the method satisfies the application requirements in the aspects of SNR and profile fidelity. By processing the data collected by the Rossi X-Ray Timing Explorer (RXTE) satellite in space, similar results can also be achieved.

Real-Time Capacitive Detection of Microdroplets

2010 ◽  
Author(s):  
Caglar Elbuken ◽  
Tomasz Glawdel ◽  
Danny Chan ◽  
Carolyn L. Ren
Keyword(s):  
Real Time ◽  
Silicone Oil ◽  
Signal To Noise Ratio ◽  
Cost Effective ◽  
Passivation Layer ◽  
Experimental Results ◽  
Capacitive Sensors ◽  
Signal To Noise ◽  
Microfabrication Techniques ◽  
Capacitive Detection

This paper presents a cost-effective and scalable method for real-time detection of microdroplets in microchannels. Sensing electrodes are manufactured using standard microfabrication techniques. Commercial capacitive sensors are used for detection. The functional and simple hardware ensures portability and yields a signal-to-noise ratio of 4 for electrodes covered with a passivation layer. Experimental results for detection of aqueous droplets in silicone oil are presented.

An Effective LFM Signal Reconstruction Method for Signal Denoising

2018 ◽  
Vol 27 (09) ◽  
pp. 1850140
Author(s):  
Shan Luo ◽  
Guoan Bi ◽  
Tong Wu ◽  
Yong Xiao ◽  
Rongping Lin
Keyword(s):  
Signal To Noise Ratio ◽  
Signal Reconstruction ◽  
Experimental Results ◽  
Signal Denoising ◽  
Reconstruction Method ◽  
Signal To Noise ◽  
Time Frequency ◽  
Effective Time ◽  
Reconstructed Signal

One of the main challenges in signal denoising is to accurately restore useful signals in low signal-to-noise ratio (SNR) scenarios. In this paper, we investigate the signal denoising problem for multi-component linear frequency modulated (LFM) signals. An effective time-frequency (TF) analysis-based approach is proposed. Compared to the existing approaches, our proposed one can further increase the noise suppressing performance and improve the quality of the reconstructed signal. Experimental results are presented to show that the proposed denoising approach is able to effectively separate the multi-component LFM signal from the strong noise environments.

scholarly journals Multiparametric approach to the assessment of muon tomographic results for the inspection of a full-scale container

2021 ◽  
Vol 136 (1) ◽  
Author(s):  
F. Riggi ◽  
M. Bandieramonte ◽  
U. Becciani ◽  
D. L. Bonanno ◽  
G. Bonanno ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
Single Scattering ◽  
Full Scale ◽  
Experimental Results ◽  
Two Dimensional ◽  
Signal To Noise ◽  
Scattering Angle ◽  
Multiparametric Analysis ◽  
Noise Ratio ◽  
Cargo Containers

AbstractExperimental results from a dataset collected with a full-scale muon tomograph for the inspection of cargo containers were studied in a single scattering scenario with a multiparametric analysis based on the method of the Point Of Closest Approach (Poca). To search for high-Z materials, a 4 $$\hbox {dm}^3$$ dm 3 Pb block was positioned inside the volume to be inspected, in order to quantitatively investigate the appearance of the Poca signal. Signal-to-noise ratio and significance of the Poca signal were investigated by means of mono-dimensional spectra of the Poca components, for different values of the scattering angle between the incoming and outgoing muon tracks and with different angle-dependent weights. A systematic scan of two-dimensional maps was also carried out, as a strategy to search for possible enhancements to the Poca signal. A comparison was also done between the results obtained from the two half-volumes, one containing the Pb block and one left empty, to take into account the response of the detector and some aspects of the Poca strategy.

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