• Title/Summary/Keyword: 멀티 스케일

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A study on the natural history virtual reality contents using depaysement (데페이즈망 기법을 활용한 자연사VR 콘텐츠 연구)

  • Park, Ki-Deok;Chung, Jean-Hun
    • Journal of Digital Convergence
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    • v.17 no.6
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    • pp.365-371
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    • 2019
  • In this study, VR contents were produced by using the rose which is the material of the tomb of the surrealistic work wrestler of Rene Magritte, an artistic genre, as a motive. In conclusion, the distortion (spatial modulation) of the image scale is connected to the dynamic-curve and texture-soft areas, and the superposition (combination of contradictory images) is called the big-size, irregular-depth area, Are connected to the positions of big-size and irregular-space regions. The theme of the work was Dream, and the plants and roses patterns were produced in each timeline, and overlap, scale, distortion, overlap, distortion, and scale were used.

Image Edge Detection Algorithm applied Directional Structure Element Weighted Entropy Based on Grayscale Morphology (그레이스케일 형태학 기반 방향성 구조적 요소의 가중치 엔트로피를 적용한 영상에지 검출 알고리즘)

  • Chang, Yu;Cho, JoonHo;Moon, SungRyong
    • Journal of Convergence for Information Technology
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    • v.11 no.2
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    • pp.41-46
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    • 2021
  • The method of the edge detection algorithm based on grayscale mathematical morphology has the advantage that image noise can be removed and processed in parallel, and the operation speed is fast. However, the method of detecting the edge of an image using a single structural scale element may be affected by image information. The characteristics of grayscale morphology may be limited to the edge information result of the operation result by repeatedly performing expansion, erosion, opening, and containment operations by repeating structural elements. In this paper, we propose an edge detection algorithm that applies a structural element with strong directionality to noise and then applies weighted entropy to each pixel information in the element. The result of applying the multi-scale structural element applied to the image and the result of applying the directional weighted entropy were compared and analyzed, and the simulation result showed that the proposed algorithm is superior in edge detection.

A Method of Constructing Robust Descriptors Using Scale Space Derivatives (스케일 공간 도함수를 이용한 강인한 기술자 생성 기법)

  • Park, Jongseung;Park, Unsang
    • Journal of KIISE
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    • v.42 no.6
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    • pp.764-768
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    • 2015
  • Requirement of effective image handling methods such as image retrieval has been increasing with the rising production and consumption of multimedia data. In this paper, a method of constructing more effective descriptor is proposed for robust keypoint based image retrieval. The proposed method uses information embedded in the first order and second order derivative images, in addition to the scale space image, for the descriptor construction. The performance of multi-image descriptor is evaluated in terms of the similarities in keypoints with a public domain image database that contains various image transformations. The proposed descriptor shows significant improvement in keypoint matching with minor increase of the length.

A Feature Map Generation Method for MSFC-Based Feature Compression without Min-Max Signaling in VCM (VCM 의 MSFC 기반 특징 압축을 위한 Min-Max 시그널링을 제외한 특징맵 생성 기법)

  • Dong-Ha Kim;Yong-Uk Yoon;Jae-Gon Kim
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.11a
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    • pp.79-81
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    • 2022
  • MPEG-VCM(Video Coding for Machines)에서는 머신비전(machine vision) 네트워크의 백본(backbone)에서 추출된 이미지/비디오 특징 압축을 위한 표준화를 진행하고 있다. 현재 VCM 표준기술 탐색 과정에서 가장 좋은 압축 성능을 보이는 MSFC(Multi-Scale Feature compression) 기반 압축 네트워크 모델은 추출된 멀티-스케일 특징을 단일-스케일 특징으로 변환하여 특징맵으로 구성하고 이를 VVC 로 압축한다. 본 논문에서는 MSFC 기반 압축 모델에서 Min-Max 값 시그널링을 제외한 최소-최대(Min-Max) 정규화를 포함한 개선된 특징맵 생성 기법을 제시한다. 즉, 제안기법은 VCM 디코더에서의 특징맵 복원을 위한 Min-Max 값을 학습 기반으로 생성함으로써 Min-Max 시그널링의 비트 오버헤드 절감뿐만 아니라 별도의 시그널링 기제를 생략한 보다 단순한 전송 비트스트림 구성을 가능하게 한다. 실험결과 제안기법은 이미지 앵커(Anchor) 대비 BPP-mAP 성능에서 83.24% BD-rate 이득을 보이며, 이는 기존 MSFC 보다 1.74%정도 다소 떨어지지만 별도의 Min-Max 시그널링 없이도 기존의 성능을 유지할 수 있음을 보인다.

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A Study of the Combinatorial Interpolation Algorithm for Scaler Hardware Design (스케일러 하드웨어 설계를 위한 조합 보간 알고리즘의 연구)

  • Si-Yeon Han;Bong-Soon Kang
    • Journal of IKEEE
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    • v.27 no.3
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    • pp.296-302
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    • 2023
  • As Multimedia industry has evolved, it has become possible to display resolutions in various formats. Therefore, the performance of a scaler algorithm that converts resolutions while maintaining high quality and its hardware implementation are important. Considering the hardware design of an image up/down scaler, this paper proposes a combinatorial scaler algorithm that uses modified bilinear interpolation in the vertical direction and bicubic interpolation in the horizontal direction to reduce the line memory burden. Through quantitative and qualitative evaluations, this paper compared the performance of the proposed algorithm with three other well-known algorithms, and also compared the hardware burden of its hardware implementation. This paper used a sinusoidal signal and eight typical images for performance evaluation.