• 제목/요약/키워드: Multi-image

검색결과 2,933건 처리시간 0.044초

FUSESHARP: A MULTI-IMAGE FOCUS FUSION METHOD USING DISCRETE WAVELET TRANSFORM AND UNSHARP MASKING

  • GARGI TRIVEDI;RAJESH SANGHAVI
    • Journal of applied mathematics & informatics
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    • 제41권5호
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    • pp.1115-1128
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    • 2023
  • In this paper, a novel hybrid method for multi-focus image fusion is proposed. The method combines the advantages of wavelet transform-based methods and focus-measure-based methods to achieve an improved fusion result. The input images are first decomposed into different frequency sub-bands using the discrete wavelet transform (DWT). The focus measure of each sub-band is then calculated using the Laplacian of Gaussian (LoG) operator, and the sub-band with the highest focus measure is selected as the focused sub-band. The focused sub-band is sharpened using an unsharp masking filter to preserve the details in the focused part of the image.Finally, the sharpened focused sub-bands from all input images are fused using the maximum intensity fusion method to preserve the important information from all focus images. The proposed method has been evaluated using standard multi focus image fusion datasets and has shown promising results compared to existing methods.

A Research of User Experience on Multi-Modal Interactive Digital Art

  • Qianqian Jiang;Jeanhun Chung
    • International Journal of Internet, Broadcasting and Communication
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    • 제16권1호
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    • pp.80-85
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    • 2024
  • The concept of single-modal digital art originated in the 20th century and has evolved through three key stages. Over time, digital art has transformed into multi-modal interaction, representing a new era in art forms. Based on multi-modal theory, this paper aims to explore the characteristics of interactive digital art in innovative art forms and its impact on user experience. Through an analysis of practical application of multi-modal interactive digital art, this study summarises the impact of creative models of digital art on the physical and mental aspects of user experience. In creating audio-visual-based art, multi-modal digital art should seamlessly incorporate sensory elements and leverage computer image processing technology. Focusing on user perception, emotional expression, and cultural communication, it strives to establish an immersive environment with user experience at its core. Future research, particularly with emerging technologies like Artificial Intelligence(AR) and Virtual Reality(VR), should not merely prioritize technology but aim for meaningful interaction. Through multi-modal interaction, digital art is poised to continually innovate, offering new possibilities and expanding the realm of interactive digital art.

지각된 품질이 브랜드이미지와 고객충성도에 미치는 영향 -복합기제품을 중심으로- (The Effects of the Perceived Quality on Brand Image and Customer Loyalty -Focusing on Multi-Function Printer-)

  • 송거영;유연우
    • 디지털융복합연구
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    • 제11권3호
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    • pp.263-272
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    • 2013
  • 본 연구는 복합기 제품에 있어서의 지각된 품질 요인, 브랜드이미지, 고객충성도 간의 관계를 규명함으로써 충성고객 확보에 효과적으로 접근할 수 있는 컨설팅 영역을 알아보고자 진행하였다. 연구목적의 달성을 위하여 관련 선행연구를 근거로 연구모형과 가설을 수립한 후 산업체의 구매의사 결정자를 대상으로 자료를 수집하여 타당성 분석 및 신뢰도 분석과 구조방정식모형 분석을 실시하였다. 본 연구의 결과를 요약하면 다음과 같다. 첫째, 복합기의 지각된 품질 구성요인이 브랜드이미지에 미치는 영향 정도는 제품품질, 판매원 서비스 속성, 서비스 품질의 순으로 확인되었다. 둘째, 복합기 제품의 브랜드이미지는 고객충성도에 긍정적인 영향을 미치는 것으로 나타났다. 본 연구는 복합기 제품과 관련한 연구범위를 경영분야까지 확장하였다는데 의의가 있으며 복합기 제품과 유사한 사업구조를 갖는 산업에 있어서의 경영전략 수립 실무 및 경영 컨설팅에 도움을 줄 것으로 기대된다.

Deep Image Annotation and Classification by Fusing Multi-Modal Semantic Topics

  • Chen, YongHeng;Zhang, Fuquan;Zuo, WanLi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권1호
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    • pp.392-412
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    • 2018
  • Due to the semantic gap problem across different modalities, automatically retrieval from multimedia information still faces a main challenge. It is desirable to provide an effective joint model to bridge the gap and organize the relationships between them. In this work, we develop a deep image annotation and classification by fusing multi-modal semantic topics (DAC_mmst) model, which has the capacity for finding visual and non-visual topics by jointly modeling the image and loosely related text for deep image annotation while simultaneously learning and predicting the class label. More specifically, DAC_mmst depends on a non-parametric Bayesian model for estimating the best number of visual topics that can perfectly explain the image. To evaluate the effectiveness of our proposed algorithm, we collect a real-world dataset to conduct various experiments. The experimental results show our proposed DAC_mmst performs favorably in perplexity, image annotation and classification accuracy, comparing to several state-of-the-art methods.

고해상도 360° 전방위 IP 카메라를 이용한 다중 번호판 인식 시스템 (Multi License Plate Recognition System using High Resolution 360° Omnidirectional IP Camera)

  • 라승탁;이선구;이승호
    • 전기전자학회논문지
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    • 제21권4호
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    • pp.412-415
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    • 2017
  • 본 논문에서는 고해상도 $360^{\circ}$ 전방위 IP 카메라를 이용한 다중 번호판 인식 시스템을 제안한다. 제안한 시스템은 $360^{\circ}$ 원형영상의 평면 분할 부와 다중 번호판 인식 부로 구성되었다. $360^{\circ}$ 원형영상의 평면 분할 부는 고해상도 $360^{\circ}$ 전방위 IP 카메라에서 원형영상 획득, 원형영상 분할, 평면영상으로 변환, 보간법을 사용한 픽셀 보정 및 컬러보정, 에지 보정 등의 과정을 거쳐 화질이 개선된 평면영상으로 출력한다. 다중 번호판 인식 부는 평면영상에서 다중 번호판 후보영역 추출, 다중 번호판 후보영역 정규화 및 복원, 신경망을 사용한 다중 번호판 숫자, 문자 인식 과정을 거쳐 다중 번호판을 인식하게 된다. 제안된 고해상도 $360^{\circ}$ 전방위 IP 카메라를 이용한 다중 번호판 인식 시스템을 평가하기 위하여 지능형 주차관제시스템 운영 전문 업체와 공동으로 실험한 결과, 97.8%의 높은 번호판 인식률이 확인되었다.

An X-ray Image Panorama System Using Robust Feature Matching and Per ception-Based Image Enhancement

  • Wang, Weiwei;Gwun, Oubong
    • 한국멀티미디어학회논문지
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    • 제15권5호
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    • pp.569-576
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    • 2012
  • This paper presents an x-ray medical image panorama system which can overcome the smallness of the images that exist on a source computer during remote medical processing. In the system, after the standard medical image format DICOM is converted to the PC standard image format, a MSR algorithm is used to enhance X-ray images of low quality. Then SURF and Multi-band blending are applied to generate a panoramic image. Also, this paper evaluates the proposed SURF based system through the average gray value error and image quality criterion with X-ray image data by comparing with a SIFT based system. The results show that the proposed system is superior to SIFT based system in image quality.

망막 두께 측정을 위한 32채널 영상획득장치 개발 (Development of 32-Channel Image Acquisition System for Thickness Measurement of Retina)

  • 양근호;유병국
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2003년도 하계학술대회 논문집
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    • pp.110-113
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    • 2003
  • In this paper, the multi-channel high speed data acquisition system is implemented. This high speed signal processing system for 3-D image display is applicable to the manipulation of a medical image processing, multimedia data and various fields of digital image processing. In order to convert the analog signal into digital one, A/D conversion circuit is designed. PCI interface method is designed and implemented, which is capable of transmission a large amount of data to computer. In order to, especially, channel extendibility of images acquisition, bus communication method is selected. By using this bus method, we can interface each module effectively. In this paper, 32-channel A/D conversion and PCI interface system for 3-dimensional and real-time display of the retina image is developed. The 32-channel image acquisition system and high speed data transmission system developed in this paper is applicable to not only medical image processing as 3-D representation of retina image but also various fields of industrial image processing in which the multi-point realtime image acquisition system is needed.

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계층적 히스토그램을 이용한 컬러영상분할 (Color Image Segmentation using Hierarchical Histogram)

  • 김소정;정경훈
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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    • pp.1771-1774
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    • 2003
  • Image segmentation is very important technique as preprocessing. It is used for various applications such as object recognition, computer vision, object based image compression. In this paper, a method which segments the multidimensional image using a hierarchical histogram approach, is proposed. The hierarchical histogram approach is a method that decomposes the multi-dimensional situation into multi levels of 1 dimensional situations. It has the advantage of the rapid and easy calculation of the histogram, and at the same time because the histogram is applied at each level and not as a whole, it is possible to have more detailed partitioning of the situation.

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밝기를 보존하는 Multi-SMQT 기반의 콘트라스트 개선 (Multi-SMQT based Contrast Enhancement for Brightness Preservation)

  • 박강서;박래홍
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2007년도 하계종합학술대회 논문집
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    • pp.373-374
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    • 2007
  • This paper proposes a natural contrast enhancement algorithm that preserves the brightness of an image. In the case that an image has the partially dense distribution of intensity, conventional contrast enhancement algorithms degrade the image quality because they excessively change the intensity values. In contrast to convention algorithms, the proposed method is able to obtain a natural image with the high contrast using the concept of brightness preservation. The experimental results show the effectiveness of our algorithm.

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Performance Evaluation of Medical Image Transmission System using TH UWB-IR Technology

  • Lee, Yang-Sun;Kang, Heau-Jo
    • Journal of information and communication convergence engineering
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    • 제4권3호
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    • pp.97-100
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    • 2006
  • In this paper, the transmission service for medical image is proposed via IEEE 802.15.4a on WPAN environment. Also, transmission and receiving performance of medical image using TH UWB-IR system is evaluated on indoor multi-path fading environment. On the results, the proposed scheme can solve the problem of interference from the medical equipment in same frequency band, and minimize the loss due to the indoor multi-path fading environment. Therefore, the transmission with low power usage is possible.