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3-D Sherlet Transform for Biomedical Applications

G. Guru Prasad, K. S. Chakradhar K. S. Chakradhar, Dr. T. Rama sree Dr. T. Rama sree
2011 Indian Journal Of Applied Research  
It is now widely acknowledged that analyzing the intrinsic geometrical features of an underlying image is essentially needed in image processing.  ...  The 3-D digital shearlet transform algorithm proposed in this paper consists in a cascade of multi scale decomposition and a directional filtering stage.  ...  The optimization criterion can be mean squared error (MSE)-based or perceptual quality driven (though video quality assessment itself is a difficult problem, especially in the absence of an original reference  ... 
doi:10.15373/2249555x/sept2013/71 fatcat:xyaoac52tjdkbd5gwudnz5xv34

Densely-Sampled Light Field Reconstruction [chapter]

Suren Vagharshakyan, Robert Bregovic, Atanas Gotchev
2020 Lecture Notes in Computer Science  
This long journey started with moving to Finland in early 2012 having applied for a Ph.D. position at the suggestion of Aram Danielyan, so he is the main culprit for my being in Finland.  ...  PREFACE This thesis is the result of six years spent as a doctoral student with the Faculty of Information Technology and Communication Sciences of Tampere University, formerly Tampere University of Technology  ...  ACKNOWLEDGMENT The research leading to these results has received funding from the PROLIGHT-IAPP Marie Curie Action of the People programme of the European Unions Seventh Framework Programme, REA grant  ... 
doi:10.1007/978-3-030-41816-8_3 fatcat:xf3snnd7gzaqxhkazfybwmchna

An automated fracture trace detection technique using the complex shearlet transform

Rahul Prabhakaran, Pierre-Olivier Bruna, Giovanni Bertotti, David Smeulders
2019 Solid Earth Discussions  
The method consists of ridge detection using the complex shearlet transform coupled with post-processing algorithms that threshold, skeletonize, and vectorize fracture traces.  ...  Recent advances in drone photogrammetry have greatly simplified the process of acquiring outcrop images, and there is a remarkable increase in the volume of image data that can be routinely generated.  ...  SSIM is a measure commonly used in image quality assessment that returns one value as a measure of similarity between two images, where one image is the reference image (Wang et al., 2004) .  ... 
doi:10.5194/se-2019-104 fatcat:e2ofbxkm3jhstglrxkmc7rhaum

An automated fracture trace detection technique using the complex shearlet transform

Rahul Prabhakaran, Pierre-Olivier Bruna, Giovanni Bertotti, David Smeulders
2019 Solid Earth  
The method consists of ridge detection using the complex shearlet transform coupled with post-processing algorithms that threshold, skeletonize, and vectorize fracture traces.  ...  Recent advances in drone photogrammetry have greatly simplified the process of acquiring outcrop images, and there is a remarkable increase in the volume of image data that can be routinely generated.  ...  Structural similarity (SSIM) is a measure commonly used in image quality assessment that returns one value as a measure of similarity between two images, where one image is the reference image.  ... 
doi:10.5194/se-10-2137-2019 fatcat:ppw4wmrn2na5rmdusa5pgwj554

WSMN: An optimized multipurpose blind watermarking in Shearlet domain using MLP and NSGA-II [article]

Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Ahad Harati, Modjtaba Rouhani
2020 arXiv   pre-print
Hence, this paper presents an optimized multipurpose blind watermarking in Shearlet domain with the help of smart algorithms including MLP and NSGA-II.  ...  Digital watermarking is a remarkable issue in the field of information security to avoid the misuse of images in multimedia networks.  ...  As known, dual watermarking, especially in the frequency domain, reduces the imperceptibility of the watermarked image.  ... 
arXiv:2005.03382v1 fatcat:hsdkqvdmmjhljottt5i7twyrne

Distortion-specific feature selection algorithm for universal blind image quality assessment

Imran Fareed Nizami, Muhammad Majid, Waleed Manzoor, Khawar Khurshid, Byeungwoo Jeon
2019 EURASIP Journal on Image and Video Processing  
Blind image quality assessment (BIQA) aims to use objective measures for predicting the quality score of distorted images without any prior information regarding the reference image.  ...  , and reduces the processing time.  ...  Shearlet transform has been used in [44] to model the NSS characteristics of images. Natural undistorted parts of the image are compared with the distorted parts to assess the quality score.  ... 
doi:10.1186/s13640-018-0392-5 fatcat:hjmwjhghabgt5ke2aesobwdj2u

Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment

Jongyoo Kim, Hui Zeng, Deepti Ghadiyaram, Sanghoon Lee, Lei Zhang, Alan C. Bovik
2017 IEEE Signal Processing Magazine  
Challenges and solutions to data-driven image quality assessment C onvolutional neural networks (CNNs) have been shown to deliver standout performance on a wide variety of visual information processing  ...  Here, we assay progress in this rapidly evolving field, focusing, in particular, on new ways to collect large quantities of ground-truth data and on recent CNN-based picture-quality prediction models that  ...  The preprocessing stages may include, for example, color conversion, local debiasing, local (divisive) normalization, or a domain transformation to sparsify [8] or reduce redundancy in the data.  ... 
doi:10.1109/msp.2017.2736018 fatcat:f5gk4uudhnfejm7zivpysyhjtq

No-Reference Image Quality Assessment Based on the Fusion of Statistical and Perceptual Features

Domonkos Varga
2020 Journal of Imaging  
The goal of no-reference image quality assessment (NR-IQA) is to predict the quality of an image as perceived by human observers without using any pristine, reference images.  ...  Different from other methods, normalized local fractal dimension distribution and normalized first digit distributions in the wavelet and spatial domains are incorporated into the statistical features.  ...  Acknowledgments: The author thanks the anonymous reviewers for their careful reading of the manuscript and their many insightful comments and suggestions.  ... 
doi:10.3390/jimaging6080075 pmid:34460690 pmcid:PMC8321044 fatcat:m3ztag7xdncstnou3dx6qq3wwq

Perceptual image quality assessment: a survey

Guangtao Zhai, Xiongkuo Min
2020 Science China Information Sciences  
Second, the objective image quality assessment measures are classified and reviewed according to the applications and the methodologies utilized in the quality measures.  ...  This survey provides a general overview of classical algorithms and recent progresses in the field of perceptual image quality assessment.  ...  A shearlet and stacked autoencoders based no-reference image quality assessment (SESANIA) method was proposed in [216] .  ... 
doi:10.1007/s11432-019-2757-1 fatcat:kizmju2lbbbcxjb42y6stct5sq

Image Processing Techniques for Analysis of Satellite Images for Historical Maps Classification—An Overview

Anju Asokan, J. Anitha, Monica Ciobanu, Andrei Gabor, Antoanela Naaji, D. Jude Hemanth
2020 Applied Sciences  
An exhaustive analysis on the merits and demerits of many satellite image processing methods are discussed in this paper.  ...  Historical map changes include the change in boundaries of cities/states, vegetation regions, water bodies and so forth. Change detection in these regions are mainly carried out via satellite images.  ...  In order to enhance compression rates and reduce the complexity of these methods, novel transform based compression method called Discrete Tchebichef transform or DTT is used [65] .  ... 
doi:10.3390/app10124207 fatcat:zlttedt4qzht7aijl6alox43ky

2D and 3D Image Quality Assessment: A Survey of Metrics and Challenges

Yuzhen Niu, Yini Zhong, Wenzhong Guo, Yiqing Shi, Peikun Chen
2019 IEEE Access  
Image quality assessment (IQA) has been a topic of intense research in the fields of image processing and computer vision.  ...  INDEX TERMS Image quality assessment, image aesthetics assessment, visual comfort, and image quality enhancement. 782 2169-3536 2018 IEEE.  ...  The shearlet and stacked autoencodersbased NR image quality assessment (SESANIA) index [57] extracts features using a multi-scale directional transform (shearlet transform) and utilizes the sum of subband  ... 
doi:10.1109/access.2018.2885818 fatcat:gjq7vdwczffufmk3smmn7mokgi

Multi-scale Visual Attention Deep Convolutional Neural Network for Multi-focus Image Fusion

Rui Lai, Yongxue Li, Juntao Guan, Ai Xiong
2019 IEEE Access  
Experimental results illustrate that the proposed method is superior to several existing multi-focus image fusion methods in both of the subjective visual effects and objective quality metrics.  ...  To realize the multi-focus image fusion task, an end-to-end deep convolutional neural network (DCNN) model that produces the final fused image directly from the source images is presented in this paper  ...  Step 1: In the data preparation procedure, two source images A and B are firstly transformed into gray scale images and then normalized by mean and variance.  ... 
doi:10.1109/access.2019.2935006 fatcat:rymwhr3ntzh7zikrqprbp56a6u

Speckle Noise Reduction and Segmentation Techniques in Ultrasound for Detection of Fetal Abnormality - A Survey

K Priya Dharshini, K Srinivasan, R Ramya
2018 DJ Journal of Advances in Electronics and Communication Engineering  
The quality of an image is influenced and also enhanced by various image segmentation methods.  ...  It is a granular noise that degrades the quality of images, and it affects image interpretation. This can be overcome by using various filtering techniques.  ...  This approach of block based coding derives an optimal block trace order via edge tracing, thus resulting in the filtration of image smoothing at the edge region and image content. [23] uses Shearlet transform  ... 
doi:10.18831/djece.org/2018011004 fatcat:ut3mvg3s5fcttlvdvpg5gy6xhu

Blind image quality assessment based on aesthetic and statistical quality-aware features

Mohsen Jenadeleh, Mohammad Masood Masaeli, Mohsen Ebrahimi Moghaddam
2017 Journal of Electronic Imaging (JEI)  
The main idea of this paper is to use a host of features that are commonly employed in image aesthetics assessment in order to improve blind image quality assessment (BIQA) methods accuracy.  ...  The main goal of image quality assessment (IQA) methods is the emulation of human perceptual image quality judgments.  ...  Acknowledgments We would like to thank the German Research Foundation (DFG) for financial support within project A05 of SFB/ Transregio 161.  ... 
doi:10.1117/1.jei.26.4.043018 fatcat:aty6j6x63fajte4mqgypzeexkq

No-reference video quality assessment via pretrained CNN and LSTM networks

Domonkos Varga, Tamás Szirányi
2019 Signal, Image and Video Processing  
A general-purpose no-reference video quality assessment algorithm based on a long short-term memory (LSTM) network and a pretrained convolutional neural network (CNN) is introduced.  ...  Keywords No-reference video quality assessment · Long short-term memory · Convolutional neural network  ...  , and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s11760-019-01510-8 fatcat:eskintimpvedxj6zjdldierfui
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