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  • Image SR-based NLM and DCNN improved IBP with cubic B-spline
    Imaging Sci. J. (IF 1.023) Pub Date : 2020-05-18
    S. Jothi Lakshmi; P. Deepa

    Image super-resolution (SR) techniques aim to estimate high-resolution (HR) image from low-resolution (LR) image. Existing SR method has slow convergence and recovery of high-frequency details are inaccurate. To overcome these issues, two algorithms have been proposed for image SR based on non-local means improved iterative back projection (NLM-IIBP), deep convolutional neural network improved iterative

    更新日期:2020-07-09
  • Motion estimation of high density crowd using fluid dynamics
    Imaging Sci. J. (IF 1.023) Pub Date : 2020-05-27
    Muhammad Umer Farooq; Mohamed Naufal B. M. Saad; Aamir Saeed Malik; Yasir Salih Ali; Sultan Daud Khan

    Motion estimation (ME) being a fundamental process of crowd behavior analysis experienced real challenges at high densities due to visual ambiguities and occlusion problems etc. Various surveys reported in the past years summarize conventional ME methods for crowd behaviors at low/medium densities. In this paper, we focus on state-of-the-art fluid dynamics (FD) ME methods developed over the last one

    更新日期:2020-07-09
  • A novel key-frame selection-based sign language recognition framework for the video data
    Imaging Sci. J. (IF 1.023) Pub Date : 2020-06-18
    Fakhar Ullah Mangla; Aysha Bashir; Ikram Lali; Ahmad Chan Bukhari; Basit Shahzad

    Sign language is a medium of communication for people with hearing disabilities. Static and dynamic gestures are identified in a video-based sign language recognition and translated them into humanly understandable phrases to achieve the communication objective. However, videos contain redundant Key-frames which require additional processing. Number of such Key-frames can be reduced. The selection

    更新日期:2020-07-09
  • Differential diagnosis of Interstitial Lung Diseases using Deep Learning networks
    Imaging Sci. J. (IF 1.023) Pub Date : 2020-06-18
    V. N. Sukanya Doddavarapu; Giri Babu Kande; B. Prabhakara Rao

    An architecture for automatic lung tissue classification method based on the Deep Learning techniques is designed in this paper. Recent works on Deep Learning techniques achieved impressive results in the field of medical image classification. So, we designed a Convolution Neural Network (CNN) for the classification of five categories of Interstitial Lung Diseases (ILD) patterns in High-Resolution

    更新日期:2020-07-09
  • Optimal anonymous location privacy protection algorithm based on grid user density
    Imaging Sci. J. (IF 1.023) Pub Date : 2020-06-24
    Yalin Miao; Huanhuan Jia; Yang Zhang; Xuemin Liu; Tiantian Ji

    The existing location anonymity algorithms do not consider the distribution of user density in the region. The area of anonymous domain is not the most appropriate and the query workload is redundant. To solve this problem, this paper proposes optimal anonymous location privacy protection algorithm based on grid user density. Taking the user density of the regional grid as the core and using reasonable

    更新日期:2020-07-09
  • Image recoloring using specular decomposition and in-painting
    Imaging Sci. J. (IF 1.023) Pub Date : 2020-07-07
    Mehwish Iqbal; M. Mohsin Riaz; Abdul Ghafoor; Attiq Ahmad

    Image recoloring using wavelet transform, in-painting and dichromatic reflection model is proposed. Detailed wavelet bands are passed through a sharpening filter whereas the approximation band is passed through dichromatic reflection model to extract body and specular coefficients. In-painting and white illumination minimization using erosion and Gaussian blur further enhance the image quality. The

    更新日期:2020-07-09
  • Single-shot X-ray scattering imaging
    Imaging Sci. J. (IF 1.023) Pub Date : 2020-07-09
    Faiz Wali; Gao Kun; Wu Zhao; Yaohu Lei; Jianheng Huang; Ji Li; Jinyuan Liu; Peiping Zhu

    In this manuscript, a technique for the fast retrieval and dose saving single-shot imaging of X-ray scattering information based on angular signal radiography and the staggered grating is simulated. A staggered grating is used to encode two sample images into a single exposure. Results show that single-shot X-ray scattering imaging, being low dose, can be used for biomedical applications where X-ray

    更新日期:2020-07-09
  • Optimal weighed Holoentropy for video compression: an advanced HEVC
    Imaging Sci. J. (IF 1.023) Pub Date : 2020-04-17
    K. Santhakumar; P. Ranjith kumar

    In recent times, the applications of multimedia are rising in a greedy mode and hence the amount of video transactions is also increasing exponentially. This has shouted great demands on effective models on video encoding and also for reducing the transmission channel congestion. This research work introduces a managing technique termed weighted encoding for High-Efficiency Video Coding (HEVC). HEVC

    更新日期:2020-04-17
  • A blind proposed 3D mesh watermarking technique for copyright protection
    Imaging Sci. J. (IF 1.023) Pub Date : 2020-04-06
    O. H. Khalil; Ahmed Elhadad; A. Ghareeb

    Watermarking provides an efficient mechanism for copyright protection of digital media by embedding information in the object to identify the owner. This paper proposed a watermarking technique that can successfully embed a grey-scale image in a 3D mesh object. In our proposed technique, each three vertices of the 3D object can hide one pixel from the secret image. The experimental results showed that

    更新日期:2020-04-06
  • Food recognition using neural network classifier and multiple hypotheses image segmentation
    Imaging Sci. J. (IF 1.023) Pub Date : 2020-04-06
    S. Jasmine Minija; W. R. Sam Emmanuel

    This paper proposes the multiple-hypotheses image segmentation and feed-forward neural network classifier for food recognition to improve the performance. Initially, the food or meal image is given as input. Then, the segmentation is applied to identify the regions, where a particular food item is located using salient region detection, multi-scale segmentation, and fast rejection. Then, the features

    更新日期:2020-04-06
  • A comprehensive study on face recognition: methods and challenges
    Imaging Sci. J. (IF 1.023) Pub Date : 2020-03-27
    Parekh Payal; Mahesh M. Goyani

    Face Recognition is the process of identifying and verifying the faces. Face recognition has vast importance in the field of Security, Healthcare, Banking, Criminal Identification, Payment, and Advertising. In this paper, we have reviewed various techniques and challenges for the face recognition. Illumination, pose variation, facial expressions, occlusions, aging, etc. are the key challenges to the

    更新日期:2020-03-27
  • Handheld pocket-size Fourier transform profilometry using projector-enabled smartphone
    Imaging Sci. J. (IF 1.023) Pub Date : 2020-03-25
    Joewono Widjaja; Sangchai Paichit; Jerasak Kamonboon; Jaroon Wongjaren

    Surface Fourier transform profilometry (FTP) is a technique used for reconstructing three-dimensional (3-D) surface topography using light. It has been widely used in machine vision for biomedical and biometric automations, providing solutions beyond conventional 2-D imaging. This paper proposes an implementation of the handheld pocket-size FTP for 3-D surface profile imaging using a projector-enabled

    更新日期:2020-03-25
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