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The range of topics covered by IET Image Processing includes areas related to the generation, processing and communication of visual information.
Latest Published Articles
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Novel image encryption algorithm based on improved logistic map
Thu Dec 13 00:00:00 EST 2018 Thu Dec 13 00:00:00 EST 2018 -
Reliability verification-based convolutional neural networks for object tracking
Thu Dec 13 00:00:00 EST 2018 Thu Dec 13 00:00:00 EST 2018 -
Image segmentation framework based on optimal multi-method fusion
Thu Dec 13 00:00:00 EST 2018 Thu Dec 13 00:00:00 EST 2018 -
Mixture separability loss in a deep convolutional network for image classification
Thu Dec 13 00:00:00 EST 2018 Thu Dec 13 00:00:00 EST 2018 -
Controversial ‘pixel’ prior rule for JPEG adaptive steganography
Thu Dec 13 00:00:00 EST 2018 Thu Dec 13 00:00:00 EST 2018
Popular Articles
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Image denoising method based on a deep convolution neural network
Thu Mar 22 00:00:00 EDT 2018 Thu Mar 22 00:00:00 EDT 2018 -
Novel image encryption algorithm based on improved logistic map
Thu Dec 13 00:00:00 EST 2018 Thu Dec 13 00:00:00 EST 2018 -
Efficient edge-preserved sonar image enhancement method based on CVT for object recognition
Thu Dec 13 00:00:00 EST 2018 Thu Dec 13 00:00:00 EST 2018 -
Fast and accurate compressed sensing model in magnetic resonance imaging with median filter and split Bregman method
Thu Dec 13 00:00:00 EST 2018 Thu Dec 13 00:00:00 EST 2018 -
Reliability verification-based convolutional neural networks for object tracking
Thu Dec 13 00:00:00 EST 2018 Thu Dec 13 00:00:00 EST 2018
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IET Research Journals
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Popular Documents (January 2019)
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Image denoising method based on a deep convolution neural network
Publication Year: 2018, Page(s):485 - 493
Cited by: Papers (2)Image denoising is still a challenging problem in image processing. The authors propose a novel image denoising method based on a deep convolution neural network (DCNN). Different from other learning-based methods, the authors design a DCNN to achieve the noise image. Thus, the latent clear image can be achieved by separating the noise image from the contaminated image. At the training stage, the ... View full abstract»
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Novel image encryption algorithm based on improved logistic map
Publication Year: 2019, Page(s):125 - 134Chaotic mapping has been widely used in image encryption given the unpredictability, ergodicity, and sensitivity of parameters and initial values and the high correspondence with cryptography. The logistic map has the disadvantages of uneven distribution, low security, and small parameter space. In order to overcome these disadvantages, in this article, a new chaotic map based on a real-time varia... View full abstract»
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Efficient edge-preserved sonar image enhancement method based on CVT for object recognition
Publication Year: 2019, Page(s):15 - 23In the field of computer-aided recognition, edge feature is one of the key factors to determine recognition performance. Comparing to an optical image, since sonar image via acoustic wave is easily influenced by underwater environments such as particle density, temperature, and current, edge information should be boosted. Some image preprocessing techniques based on transform domain such as wavele... View full abstract»
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Fast and accurate compressed sensing model in magnetic resonance imaging with median filter and split Bregman method
Publication Year: 2019, Page(s):1 - 8Magnetic resonance (MR) images have great importance to assist doctors in diagnosing diseases, however, the long MR images scan duration remains the primary obstacle in clinical medicine. Compressed sensing reconstructed technique in MR imaging (CS-MRI) makes it possible to reconstruct a faithful MR image from very few measurements data, which helps to reduce the scan time. The purpose of this stu... View full abstract»
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Reliability verification-based convolutional neural networks for object tracking
Publication Year: 2019, Page(s):175 - 185The authors propose a tracking algorithm based on the reliability analysis of the convolutional neural network to avoid drift. In general, most tracking algorithms implemented with the deep network consist of a single network; they obtain the tracking results according to the confidence and perform updates with the samples, which are collected based on the previous target state. However, this kind... View full abstract»
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Linearly uncorrelated principal component and deep convolutional image deblurring for natural images
Publication Year: 2019, Page(s):49 - 56Blind image deblurring of natural images still remains a demanding task. The traditional methods, pre-processes the uniform and non-uniform images with a deblurring algorithm and employs a low-rank prior algorithm. The rich textures do not possess enough similar patches in the deblurring process and this loss results in noisy images. Also, computational efficiency gets compromised during the perfo... View full abstract»
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Fully automated brain tumour segmentation system in 3D-MRI using symmetry analysis of brain and level sets
Publication Year: 2018, Page(s):1964 - 1971This study presents a new fully automated, fast, and accurate brain tumour segmentation method which automatically detects and extracts whole tumours from 3D-MRI. The proposed method is based on a hybrid approach that relies on a brain symmetry analysis method and a combining region-based and boundary-based segmentation methods. The segmentation process consists of three main stages. In the first ... View full abstract»
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Watermarking image encryption using deterministic phase mask and singular value decomposition in fractional Mellin transform domain
Publication Year: 2018, Page(s):1994 - 2001The aim of this study is watermarking image encryption based on the fractional Mellin transform (FrMT) and singular value decomposition (SVD) using deterministic phase masks (DPMs). DPMs are used in the input as well as in the frequency planes of double random phase encoding. The use of DPM structured phase mask provides an advantage of extra encryption parameters, besides overcoming the problem o... View full abstract»
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Mixture separability loss in a deep convolutional network for image classification
Publication Year: 2019, Page(s):135 - 141In machine learning, the cost function is crucial because it measures how good or bad a system is. In image classification, well-known networks only consider modifying the network structures and applying cross-entropy loss at the end of the network. However, using only cross-entropy loss causes a network to stop updating weights when all training images are correctly classified. This is the proble... View full abstract»
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Computer aided diagnosis of glaucoma using discrete and empirical wavelet transform from fundus images
Publication Year: 2019, Page(s):73 - 82Glaucoma 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... View full abstract»
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Controversial ‘pixel’ prior rule for JPEG adaptive steganography
Publication Year: 2019, Page(s):24 - 33Currently, the most successful model for image adaptive steganography is the framework of minimal distortion, in which a reasonable definition of costs can improve the security level. In the authors' previous work, they developed a rule for cost reassignment in spatial domain called the `controversial pixel prior (CPP)' rule, which defines controversial pixels by utilizing the controversies among ... View full abstract»
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Image segmentation algorithm based on superpixel clustering
Publication Year: 2018, Page(s):2030 - 2035The main task of image segmentation is to partition an image into disjoint sets of pixels called clusters. Spectral clustering algorithm has been developed rapidly in recent years and it has been widely used in image segmentation. The traditional spectral clustering algorithm requires huge amount of computation to process colour images with high resolution. While one possible solution is reducing ... View full abstract»
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Image seamless stitching and straightening based on the image block
Publication Year: 2018, Page(s):1361 - 1369Traditional image stitch methods based on feature point detection require long registration time for high resolution images. In the SIFT (scale invariant feature transform) algorithm, it builds difference-of-Gaussian by a linear Gauss expansion filter to obtain the feature. SIFT has poor real time. In this study, a novel image registration method based on image block is proposed to make a rough ma... View full abstract»
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Fast detection method of quick response code based on run-length coding
Publication Year: 2018, Page(s):546 - 551Quick response (QR) code, one of the two-dimensional barcodes, is now being widely used in all fields. The effectiveness of decoding, however, needs to be improved in real-time application. In most cases, the decoding procedure is time consuming, in which the detection of QR code plays an essential part. Therefore, this study proposes a fast detection method of QR code based on run-length coding: ... View full abstract»
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Despeckling of ultrasound images using directionally decimated wavelet packets with adaptive clustering
Publication Year: 2019, Page(s):206 - 215Two-dimensional transforms are extensively used for speckle noise reduction (despeckling) in ultrasound images. This work proposes a double filter bank structure consisting of a discrete wavelet packet transform (DWPT) and directional filter bank (DFB) along with a fuzzy-based clustering technique to despeckle ultrasound images. Wavelet packet transform can efficiently reject noises based on grey ... View full abstract»
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Multiple-parameter fractional quaternion Fourier transform and its application in colour image encryption
Publication Year: 2018, Page(s):2238 - 2249In this study, by using the quaternion algebra, multiple-parameter fractional quaternion Fourier transform (MPFrQFT) is proposed to generalise the conventional multiple-parameter fractional Fourier transform (MPFrFT) to quaternion signal processing in a holistic manner. First, the new transform MPFrQFT and its inverse transform are defined. An efficient discrete implementation method of MPFrQFT is... View full abstract»
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Hierarchical CNN-based real-time fatigue detection system by visual-based technologies using MSP model
Publication Year: 2018, Page(s):2319 - 2329Visual-based technologies are very useful and meaningful to driver's fatigue detection. In this study, the authors present a multi-task hierarchical CNN scheme for fatigue detection system and propose a convolutional neural network (CNN) model with multi-scale pooling (MSP-Net). `Multi-task' includes three tasks: face detection, eye and mouth state detection and fatigue detection. First, they use ... View full abstract»
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Scene invariant crowd counting using multi-scales head detection in video surveillance
Publication Year: 2018, Page(s):2258 - 2263With a soaring increase in the application of video surveillance in daily life, the estimation of crowd density has already become a hot field. Crowd counting has a very close relationship with traffic planning, pedestrian analysing and emergency warning. Here, a novel crowd counting method based on multi-scales head detection is proposed. The authors' approach first uses gradients difference to e... View full abstract»
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Handwritten Hindi character recognition: a review
Publication Year: 2018, Page(s):1919 - 1933As the years passed by, computers became more powerful and automation became the need of generation. Humans tried to automate their work and replace themselves with machines. This effort of transition from manual to automatic gave rise to various research fields, and document character recognition is one such field. From the last few years, there is a sincere contribution from researchers for the ... View full abstract»
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Robust medical image watermarking technique for accurate detection of tampers inside region of interest and recovering original region of interest
Publication Year: 2015, Page(s):615 - 625
Cited by: Papers (4)Transmission of medical images among remote places is a general practice in telemedicine. Medical images may be modified intentionally or accidentally as the transmission of these may take place through unsecure networks such as internet. Before making any diagnostic decisions, the medical practitioner has to verify the integrity of region of interest (ROI) in the received medical image in order t... View full abstract»
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Denoising of ultrasound images affected by combined speckle and Gaussian noise
Publication Year: 2018, Page(s):2346 - 2351This study introduces an image denoising method in the presence of combined speckle and Gaussian noise. The dual-tree complex wavelet transform is applied to the image in order to obtain specific coefficients characterising these types of noise. Then, these extracted coefficients are removed by thresholding and an inverse wavelet transform is applied in order to obtain the reconstructed image. A c... View full abstract»
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Keypoints based enhanced multiple copy-move forgeries detection system using density-based spatial clustering of application with noise clustering algorithm
Publication Year: 2018, Page(s):2092 - 2099In this study, the problem of detecting if an image has tampered is inquired; especially, the attention has been paid to the case in which the portion of an image is copied and then pasted onto another region to create a duplication or to hide some important portion of the image. The proposed copy-move forgery detection system is based on the scale-invariant feature transform (SIFT) features extra... View full abstract»
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Detail-enhanced target segmentation method for thermal video sequences based on spatiotemporal parameter update technique
Publication Year: 2019, Page(s):216 - 223Thermal images have been widely used for detection, tracking, and classification of targets at night for military purpose. A thermal imaging sensor receives the radiation energy from the target and the background, so it has advantages in night vision. However, the thermal images have lower spatial resolution and more blurred edges than colour images, and edges can be contaminated by flames. Theref... View full abstract»
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CT and MRI image fusion based on multiscale decomposition method and hybrid approach
Publication Year: 2019, Page(s):83 - 88In the fusion process of medical computed tomography (CT) and magnetic resonance image (MRI), traditional multiscale methods often reduce the contrast of fused images. Although sparse representation (SR) methods overcome this shortcoming, they are often too smooth along the strong edges of the fusion image. To overcome these shortcomings, CT and MRI image fusion based on multiscale decomposition m... View full abstract»
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Automatic object extraction from images using deep neural networks and the level-set method
Publication Year: 2018, Page(s):1131 - 1141The authors propose an automatic method for extracting objects with fine quality from photographs. The authors' method starts with finding bounding boxes that enclose potential objects, which is achievable by state-of-the-art object proposal methods. To further segment objects within obtained bounding boxes, the authors propose a new multi-pass level-set method based on saliency detection and fore... View full abstract»
Aims & Scope
The range of topics covered by IET Image Processing includes areas related to the generation, processing and communication of visual information.
Meet Our Editors
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IET Research Journals
iet_ipr@theiet.org
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Aims & Scope
The range of topics covered by IET Image Processing includes the following areas related to the generation, processing and communication of visual information: Generation and Display - Imaging sensors and acquisition systems, illumination, sampling and scanning, quantization, colour reproduction, image rendering, display and printing systems, evaluation of image quality. Processing and Analysis - Image enhancement, restoration, segmentation, registration, multispectral, colour and texture processing, multiresolution processing and wavelets, morphological operations, stereoscopic and 3-D processing, motion detection and estimation, video and image sequence processing. Implementations and Architectures - Image and video processing hardware and software, design and construction, architectures and software, neural, adaptive, and fuzzy processing. Coding and Transmission - Image and video compression and coding, compression standards, noise modelling, visual information networks, streamed video. Retrieval and Multimedia - Storage of images and video, database design, image retrieval, video annotation and editing, mixed media incorporating visual information, multimedia systems and applications, image and video watermarking, steganography. Applications - Innovative application of image and video processing technologies to any field, including life sciences, earth sciences, astronomy, document processing and security.
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=4149689 More »
Frequency: 8
ISSN: 1751-9659
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Subjects
- Signal Processing & Analysis
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About this Journal
Previous Titles
- ( 1994 - 2006 ) IEE Proceedings - Vision, Image and Signal Processing
- ( 1989 - 1993 ) IEE Proceedings I - Communications, Speech and Vision
- ( 1980 - 1988 ) Communications, Radar and Signal Processing, IEE Proceedings F
Contacts
Publisher
IET Research Journals
iet_ipr@theiet.org