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[IEEE 2018 International Conference On Advances in Communication and Computing Technology (ICACCT) - Sangamner, India (2018.2.8-2018.2.9)] 2018 International Conference On Advances in Communication and Computing Technology (ICACCT) - Image Inpainting Based on Image Mapping and Object Removal Using Semi-Automatic Method
摘要： The image inpainting process selects the object manually. We are dealing with semi-automatic image inpainting algorithm. In semi-automatic image inpainting method user manually gives an outline of an object which we want to remove or the damaged region which we want to recover and an inpainting algorithm will automatically fill that region. In the proposed method, segmentation is used for removing unwanted regions from the image. As the hole in the image to be inpainted is an unendorsed method, we are totaling the pixel in the holes by means of spatial contextual correspondences. The main importance of our approach is to utilize association of a pixel with its neighbors to get precise smoothness over the inpainted image. The region to be inpainted can be chosen initially by performing the segmentation approach. The region growing method is applied thus segmenting the regions. The multiple and single region selection is also applicable. Now the region to be inpainted is termed as a hole in the given image which is removed from the image. The omitted region can be packed using the correlation made by the information supplied by the neighbors and its information.
关键词： Texture and Structure Inpainting,Alternative Direction Method,Semiautomatic Inpainting,Wavelet Based Inpainting,Exemplar Based Inpainting
更新于2025-09-11 14:15:04
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Wavelet Transform Subspace-based Optimization Method for Inverse Scattering
摘要： Inspired by the new fast Fourier transform subspace-based optimization method (NFFT-SOM), wavelet transform subspace-based optimization method (WT-SOM) that represents minor part of induced current by wavelet bases is proposed in this paper to solve the inverse scattering problem. This paper provides a guideline for choosing the appropriate bases for the minor part of induced current in the inverse problem, and it is shown that Daubechies 20 (D20) wavelet bases and Fourier bases are better choices than Daubechies 4 (D4) wavelet bases and Haar wavelet bases. Compared to NFFT-SOM, it is shown that WT-SOM can be used to improve the resolution of a specific region of a scatterer. By using only part of the detail coefficients, the convergence rate of the algorithm can be greatly accelerated compared to using all the detail coefficients. For a piecewise constant scatterer, additive total variation (TV) regularization is used together with WT-SOM. We prove that TV-regularized WT-SOM has exactly the same performance when the contrast is represented by no matter natural pixels bases, Fourier bases, or wavelet bases.
关键词： wavelet transform,optimization method,Fourier transform,inverse scattering
更新于2025-09-11 14:15:04
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Wavelet Transforms, Contourlet Transforms and Block Matching Transforms for Denoising of Corrupted Images via Bi-shrink Filter
摘要： Image Denoising refers to the recovery of an image that has been corrupted by noise due to poor quality of image acquisition and transmission. Accordingly, there is a need to reduce the noise present in the image as a consequence of the denoised image formed. This paper presents Image denoising using Wavelet transforms, Contourlet transforms and Block Matching Transforms governed by bivariate shrinkage (Bi-shrink) filter techniques. The Wavelet transform uses up-sampling, down-sampling, low pass filter and high pass filter to perform denoising operation, the Contourlet transform uses up-sampling, down-sampling, low pass filter and high pass filter and directional filter banks to perform denoising operation, the Block Matching Transform uses Haar Transforms, Discrete cosine transforms and Karhunen Loeve transform to perform denoising operation. The performance of wavelet transforms, Contourlet transforms and Block Matching Transforms are evaluated for Reference images (such as towers, shades and ruler images) corrupted by gaussian noise and salt and pepper noise, by computing two error metrics Peak Signal to Noise Ratio (PSNR) and Execution Time (ET) with help of shrinkage function. Programming these using MATLAB R2014a by exploring its wavelet transform, Contourlet transform, image processing and signal processing toolboxes and the values are presented in tabular forms and discussed in the section 6. In this paper the block matching haar discrete cosine transform is proposed for denoising of images (especially for those images possessing detailed textures) that works through haar transform and discrete cosine transform outstrips the basic transform discrete wavelet transform and semi translation invariant contourlet transform. For the images corrupted by Gaussian noise and denoised by the proposed transform outstrips the basic transform “Discrete Wavelet Transform by PSNR=6.71 dB, ET=25.89 sec” and “Semi Translation Invariant Contourlet Transforms by PSNR=5.49 dB, ET=5.89 sec”. For the images corrupted by Salt and Pepper noise and denoised by the proposed transform outstrips the basic transform “Discrete Wavelet Transform by PSNR=21.15 dB, ET= 0.27 sec” and “Semi Translation Invariant Contourlet Transforms by PSNR=20.05 dB, ET= 5.80 sec”. In this paper Block Matching Haar Discrete cosine transform is proposed to overcome the limitations of wavelet transforms and Contourlet transforms, hence to attain the trade-off between high peak signal to noise ratio and less execution time. Results and Discussion section illustrates the efficacy of the proposed transform in terms of peak signal to noise ratio, execution time and visual quality of images.
关键词： Wavelet Transforms,Contourlet Transforms,Bi-variate Shrinkage and Image Denoising,Block Matching Transforms
更新于2025-09-11 14:15:04
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Wavelet Transform-Based UV Spectroscopy for Pharmaceutical Analysis
摘要： In research and development laboratories, chemical or pharmaceutical analysis has been carried out by evaluating sample signals obtained from instruments. However, the qualitative and quantitative determination based on raw signals may not be always possible due to sample complexity. In such cases, there is a need for powerful signal processing methodologies that can effectively process raw signals to get correct results. Wavelet transform is one of the most indispensable and popular signal processing methods currently used for noise removal, background correction, differentiation, data smoothing and filtering, data compression and separation of overlapping signals etc. This review article describes the theoretical aspects of wavelet transform (i.e., discrete, continuous and fractional) and its characteristic applications in UV spectroscopic analysis of pharmaceuticals.
关键词： UV spectroscopy,continuous wavelet transform,discrete wavelet transform,pharmaceutical analysis,fractional wavelet transform
更新于2025-09-10 09:29:36
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Computer aided diagnosis of glaucoma using discrete and empirical wavelet transform from fundus images
摘要： Glaucoma is a class of eye disorder; it causes progressive deterioration of optic nerve fibres. Discrete wavelet transforms (DWTs) and empirical wavelet transforms (EWTs) are widely used methods in the literature for feature extraction using image decomposition. However, to increase the accuracy for measuring features of images a hybrid and concatenation approach has been presented in the proposed research work. DWT decomposes images into approximate and detail coefficients and EWT decomposes images into its sub band images. The concatenation approach employs the combination of all features obtained using DWT and EWT and their combination. Extracted features from each of DWT, EWT, DWTEWT and EWTDWT are concatenated. Concatenated features are normalised, ranked and fed to singular value decomposition to find robust features. Fourteen robust features are used by support vector machine classifier. The obtained accuracy, sensitivity and specificity are 83.57, 86.40 and 80.80%, respectively, for tenfold cross validation which outperforms the existing methods of glaucoma detection.
关键词： glaucoma,empirical wavelet transform,support vector machine,discrete wavelet transform,feature extraction
更新于2025-09-10 09:29:36
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[IEEE 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Honolulu, HI (2018.7.18-2018.7.21)] 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Wavelet de-noising method with adaptive threshold selection for photoacoustic tomography
摘要： Photoacoustic (PA) tomography enables imaging of optical absorption property in deep scattering tissue by listening to the PA wave. However, it is an open challenge that the conversion efficiency from light to sound based on PA effect is extremely low. The consequence is the poor signal-to-noise ratio (SNR) of PA signal especially in scenarios of low laser power and deep penetration. The conventional way to improve PA signal’s SNR is data averaging, which however severely limits the imaging speed. In this paper, we propose a new adaptive wavelet threshold de-noising (aWTD) algorithm, and apply it in photoacoustic tomography to increase the PA signal’s SNR without sacrificing the signal fidelity and imaging speed. PA image quality in terms of contrast is also significantly improved. The proposed method provides the potential to develop real-time low-cost PA tomography system with low-power laser source.
关键词： photoacoustic tomography,low-power laser,imaging speed,signal-to-noise ratio,adaptive wavelet threshold de-noising
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - How does the Spatial Scale Mismatch Between in Situ and Smos Soil Moisture Evolve Through Timescales?
摘要： The SMOS (Soil Moisture and Ocean Salinity) mission, together with other passive microwave based missions (AMSR, SMAP), provides soil moisture estimates at resolutions ranging from 30 to 55 km. These estimates are validated by direct comparison to in situ measurements that typically measure over an area of a few centimeters. There exist a spatial scale mismatch between the satellite (large support) and the in situ measurements (point support), which contributes to the differences observed. Their magnitude depends on the spatial representativeness of the in situ measurements, which varies in time and with the selected location. This communication will show how the spatial scale mismatch evolves through timescales. It is characterized by using modeled, in situ and satellite soil moisture time series. Timescales, from 0.5 to 128 days, are obtained using wavelet transforms and the spatial representativeness is assessed with a new approach that uses wavelet-based correlations (WCor).
关键词： time scales,satellite validation,wavelet decomposition,soil moisture,spatial representativeness,spatial scales
更新于2025-09-10 09:29:36
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[IEEE 2018 41st International Conference on Telecommunications and Signal Processing (TSP) - Athens, Greece (2018.7.4-2018.7.6)] 2018 41st International Conference on Telecommunications and Signal Processing (TSP) - A Novel Discrete Wavelet Transform based Coherent Optical OFDM System
摘要： In optical communication, which is an important part of the Radio over Fiber (RoF) systems, coherent optical OFDM (CO-OFDM) systems allow the use of amplitude and phase belong to the light at the same time for data transmission. However, the data transmission speed and distance of the CO-OFDM system are limited by optical channel impairment effects. One of the major disadvantages of CO-OFDM systems is its sensitivity to fiber nonlinearity effects. For this reason, in order to be used the new signal processing techniques efficiently in the receiver, the optical channel information must be estimated and the received signal must be equalized. In this work, different equalizer constructions are investigated and a frequency domain channel equalizer used in the novel DWT-based CO-OFDM system has been proposed. With the simulation studies made, the equalizers were compared and the results were given with different changes. From the obtained simulation results, it is seen that the proposed method provides about 5.5 OSNR gain for 1E-4 BER value.
关键词： fiber nonlinearity impairment,discrete wavelet transform,Radio over Fiber,CO-OFDM systems,frequency domain equalizer
更新于2025-09-10 09:29:36
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Iris Recognitions Identification and Verification using Hybrid Techniques
摘要： The aim of this study is proposed a new IRS using hybrid methods. These methods used to extract features of tested eye images. Gabor wavelet and Zernike moment used to extract features of iris. Canny edge detection and Hough transform used to determine the iris. The proposed system tested on CASIA-v4.0 interval database. The results show that the proposed method having good accuracy about 97%. PSNR applied on the training and testing iris image to measure the simmilarity between them. PSNR is support the proposed system where, highest value of PSNR for the tesed image dells with the image is belong to the same person in training database.
关键词： features extraction,Biometric,Zernike moment,hybrid,Gabor wavelet,iris recognition
更新于2025-09-10 09:29:36
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An innovative method of retrieving images through clusters, means and wavelet transformation
摘要： This paper introduces a new method CLMWT(cluster local mean wavelet transform) using the primitive features like color, texture and shape in which the features are extracted by using different components of an image using various methods clustering, local mean histogram and wavelet transform. This manuscript exhibit a technique CLMWT to extort texture, color and shape features of an image hastily for content based image retrieval. First clustering is done for the image and then local mean is applied and based on wavelet transform technique compression is done and the mean is calculated for the compressed image. Related to this way of extraction a CBIR method is intended with color, texture and shape by forming the mean of the feature vector. The proposed work CLMWT checks its performance of the method with other methods accordingly this approach gives better performance than using two combinations.
关键词： Histogram,Content based,Image retrieval,Color,Texture,Shape,Wavelet,Local mean
更新于2025-09-10 09:29:36