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  • Open Access

    ARTICLE

    Image Inpainting Detection Based on High-Pass Filter Attention Network

    Can Xiao1,2, Feng Li1,2,*, Dengyong Zhang1,2, Pu Huang1,2, Xiangling Ding3, Victor S. Sheng4

    Computer Systems Science and Engineering, Vol.43, No.3, pp. 1145-1154, 2022, DOI:10.32604/csse.2022.027249 - 09 May 2022

    Abstract Image inpainting based on deep learning has been greatly improved. The original purpose of image inpainting was to repair some broken photos, such as inpainting artifacts. However, it may also be used for malicious operations, such as destroying evidence. Therefore, detection and localization of image inpainting operations are essential. Recent research shows that high-pass filtering full convolutional network (HPFCN) is applied to image inpainting detection and achieves good results. However, those methods did not consider the spatial location and channel information of the feature map. To solve these shortcomings, we introduce the squeezed excitation blocks More >

  • Open Access

    ARTICLE

    Research on the Identification of Hand-Painted and Machine-Printed Thangka Using CBIR

    Chunhua Pan1,*, Yi Cao2, Jinglong Ren3

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1081-1091, 2022, DOI:10.32604/iasc.2022.028763 - 03 May 2022

    Abstract Thangka is a unique painting art form in Tibetan culture. As Thangka was awarded as the first batch of national intangible cultural heritage, it has been brought into focus. Unfortunately, illegal merchants sell fake Thangkas at high prices for profit. Therefore, identifying hand-painted Thangkas from machine-printed fake Thangkas is important for protecting national intangible cultural heritage. The paper uses Content-Based Image Retrieval (CBIR) techniques to analyze the color, shape, texture, and other characteristics of hand-painted and machine- printed Thangka images, in order to identify Thangkas. Based on the database collected and established by this project… More >

  • Open Access

    ARTICLE

    An Efficient Video Inpainting Approach Using Deep Belief Network

    M. Nuthal Srinivasan1,*, M. Chinnadurai2

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 515-529, 2022, DOI:10.32604/csse.2022.023109 - 20 April 2022

    Abstract The video inpainting process helps in several video editing and restoration processes like unwanted object removal, scratch or damage rebuilding, and retargeting. It intends to fill spatio-temporal holes with reasonable content in the video. Inspite of the recent advancements of deep learning for image inpainting, it is challenging to outspread the techniques into the videos owing to the extra time dimensions. In this view, this paper presents an efficient video inpainting approach using beetle antenna search with deep belief network (VIA-BASDBN). The proposed VIA-BASDBN technique initially converts the videos into a set of frames and… More >

  • Open Access

    ARTICLE

    Spectral Matching Classification Method of Multi-State Similar Pigments Based on Feature Differences

    Meng Da1, Huiqin Wang1,*, Ke Wang1, Zhan Wang2

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 513-527, 2022, DOI:10.32604/cmes.2022.019040 - 24 January 2022

    Abstract The properties of the same pigments in murals are affected by different concentrations and particle diameters, which cause the shape of the spectral reflectance data curve to vary, thus influencing the outcome of matching calculations. This paper proposes a spectral matching classification method of multi-state similar pigments based on feature differences. Fast principal component analysis (FPCA) was used to calculate the eigenvalue variance of pigment spectral reflectance, then applied to the original reflectance values for parameter characterization. We first projected the original spectral reflectance from the spectral space to the characteristic variance space to identify… More >

  • Open Access

    ARTICLE

    Perceptual Image Outpainting Assisted by Low-Level Feature Fusion and Multi-Patch Discriminator

    Xiaojie Li1, Yongpeng Ren1, Hongping Ren1, Canghong Shi2, Xian Zhang1, Lutao Wang1, Imran Mumtaz3, Xi Wu1

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5021-5037, 2022, DOI:10.32604/cmc.2022.023071 - 14 January 2022

    Abstract Recently, deep learning-based image outpainting has made greatly notable improvements in computer vision field. However, due to the lack of fully extracting image information, the existing methods often generate unnatural and blurry outpainting results in most cases. To solve this issue, we propose a perceptual image outpainting method, which effectively takes the advantage of low-level feature fusion and multi-patch discriminator. Specifically, we first fuse the texture information in the low-level feature map of encoder, and simultaneously incorporate these aggregated features reusability with semantic (or structural) information of deep feature map such that we could utilize More >

  • Open Access

    ARTICLE

    Stroke Based Painterly Rendering with Mass Data through Auto Warping Generation

    Taemin Lee1, Beomsik Kim2, Sanghyun Seo3, Kyunghyun Yoon4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1441-1457, 2022, DOI:10.32604/cmes.2022.018010 - 30 December 2021

    Abstract Painting is done according to the artist's style. The most representative of the style is the texture and shape of the brush stroke. Computer simulations allow the artist's painting to be produced by taking this stroke and pasting it onto the image. This is called stroke-based rendering. The quality of the result depends on the number or quality of this stroke, since the stroke is taken to create the image. It is not easy to render using a large amount of information, as there is a limit to having a stroke scanned. In this work, More >

  • Open Access

    HOW I DO IT

    How I Do It: The pudendal nerve block for pediatric ambulatory urologic surgery

    Blair Stocks1, Hunter Fuentes1, Zachary McDowell1, Michael Brooks1,2, Jeffrey A. Jones1,2

    Canadian Journal of Urology, Vol.28, No.2, pp. 10648-10651, 2021

    Abstract Regional analgesia is an important adjunct for perioperative pain management in the setting of pediatric penile surgeries. Caudal epidural analgesia (CEA) is the most common analgesic technique performed, but it has limitations and associated morbidity. The pudendal nerve block (PNB) is an effective alternative to CEA with a lower risk profile; in prior examination of the approach, PNB has been demonstrated to have similar postoperative pain control outcomes. We describe our technique and highlight observations made as we have transitioned from CEA to PNB for many patients. More >

  • Open Access

    ARTICLE

    Prevalence and characterization of dyspareunia in a general urology clinic population

    Clinton Yeaman1, Jacqueline Zillioux1, Kimberly Boatman2, Sarah Krzastek3, David E. Rapp1

    Canadian Journal of Urology, Vol.28, No.6, pp. 10929-10935, 2021

    Abstract Introduction: To assess the character and prevalence of dyspareunia in a general urology population presenting for evaluation of unrelated non-painful complaints.
    Materials and methods: This is an IRB-approved, prospective, cross-sectional survey-based assessment of dyspareunia in a general cohort of female patients presenting to a urology clinic over a 10-month period (7/2018-5/2019). Patients presenting specifically for acute painful complaints were excluded. Participating patients completed an original 23-item survey with questions pertaining to dyspareunia. Specific focus was placed on pain characteristics, including location, quality, frequency, severity, and quality of life. Descriptive analysis, pain mapping, and plotting analyses were performed… More >

  • Open Access

    ARTICLE

    A narcotic free pathway for postoperative pain following urethroplasty

    Eileen R. Byrne1, Thomas W. Fuller2, Sunchin Kim3, Engy T. Said4, Jill C. Buckley1

    Canadian Journal of Urology, Vol.28, No.6, pp. 10914-10919, 2021

    Abstract Introduction: In an effort to decrease physician contribution to the opioid crisis, we utilized a narcotic free pathway (NFP) after urethroplasty. Our objectives were to demonstrate feasibility of a NFP and identify patients at higher risk for requiring postoperative narcotics.
    Materials and methods: We implemented a NFP for patients undergoing urethroplasty. Pain was assessed using the Likert scale (1-10). Narcotic use was quantified using oral morphine equivalents (OMEs).
    Results: Forty-six patients underwent urethroplasty following the NFP over a 7-month period. Fifteen patients were excluded, leaving 31 patients in the final analysis. Postintervention data was compared to 30 patients… More >

  • Open Access

    RESIDENT’S CORNER

    Celiac plexus block for chronic flank pain: a case series

    William W. French1, Joseph M. Kuebker2, Xiang Shu3, Christopher M. Sobey4, Ryan S. Hsi2

    Canadian Journal of Urology, Vol.28, No.1, pp. 10556-10559, 2021

    Abstract Non-obstructive, chronic flank pain in urologic patients can be a challenging problem to manage. In this series, we examined the efficacy of celiac plexus blockade in providing pain relief and reducing opiate use in 14 adult urology patients with non-obstructive flank pain for > 1 year. Demographic, clinical, and procedural variables were collected from the medical record for retrospective analysis. Subjective improvement in pain occurred in 11 individuals (79%), and 5 (50%) were able to reduce their daily morphine equivalent dose (MED). Celiac plexus blockade is a viable option for symptomatic relief in urologic patients More >

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