• Title/Summary/Keyword: Low-resolution image

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Image reconstruction algorithm for momentum dependent muon scattering tomography

  • JungHyun Bae;Rose Montgomery;Stylianos Chatzidakis
    • Nuclear Engineering and Technology
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    • v.56 no.5
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    • pp.1553-1561
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    • 2024
  • Nondestructive radiography using cosmic ray muons has been used for decades to monitor nuclear reactor and spent nuclear fuel storage. Because nuclear fuel assemblies are highly dense and large, typical radiation probes such as x-rays cannot penetrate these target imaging objects. Although cosmic ray muons are highly penetrative for nuclear fuels as a result of their relatively high energy, the wide application of muon tomography is limited because of naturally low cosmic ray muon flux. This work presents a new image reconstruction algorithm to maximize the utility of cosmic ray muon in tomography applications. Muon momentum information is used to improve imaging resolution, as well as muon scattering angle. In this work, a new convolution was introduced known as M-value, which is a mathematical integration of two measured quantities: scattering angle and momentum. It captures the objects' quantity and density in a way that is easy to use with image reconstruction algorithms. The results demonstrate how to reconstruct images when muon momentum measurements are included in a typical muon scattering tomography algorithm. Using M-value improves muon tomography image resolution by replacing the scattering angle value without increasing computation costs. This new algorithm is projected to be a standard nondestructive radiography technique for spent nuclear fuel and nuclear material management.

Automaitc Generation of Fashion Image Dataset by Using Progressive Growing GAN (PG-GAN을 이용한 패션이미지 데이터 자동 생성)

  • Kim, Yanghee;Lee, Chanhee;Whang, Taesun;Kim, Gyeongmin;Lim, Heuiseok
    • Journal of Internet of Things and Convergence
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    • v.4 no.2
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    • pp.1-6
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    • 2018
  • Techniques for generating new sample data from higher dimensional data such as images have been utilized variously for speech synthesis, image conversion and image restoration. This paper adopts Progressive Growing of Generative Adversarial Networks(PG-GANs) as an implementation model to generate high-resolution images and to enhance variation of the generated images, and applied it to fashion image data. PG-GANs allows the generator and discriminator to progressively learn at the same time, continuously adding new layers from low-resolution images to result high-resolution images. We also proposed a Mini-batch Discrimination method to increase the diversity of generated data, and proposed a Sliced Wasserstein Distance(SWD) evaluation method instead of the existing MS-SSIM to evaluate the GAN model.

Design and Implementation of High-Resolution Image Transmission Interface for Mobile Device (모바일 환경을 위한 맞춤형 서비스 유비쿼터스 영상전송 시스템의 설계)

  • Lee, Sang-Wook;Ahn, Yong-Beom;Kim, Eung-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.4
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    • pp.791-799
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    • 2008
  • An image recognition for surrounding conditions is very important in image transmission. In recently rears, as the information infrastructure is more general, the user-centered demands in which they want to identify by object's states image using wire or wireless environment have increased. However, existing mobile solution could be hard to expect high quality mage, because limitation of software processing according as network based on mobile terminal which has low band width supports software codec. To solve this weak point, this paper describes on hardware codec design based on MPEG-4 which is international video compression standard. Implemented system contains the embedded CPU for optimized design and it works high quality service as transmission speed and resolution in mobile circumstance.

Multiview Autostereoscopic Display Technology and Applications

  • Kim, Sung-Sik;Shestak, Sergei A.
    • 한국정보디스플레이학회:학술대회논문집
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    • 2003.07a
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    • pp.463-467
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    • 2003
  • Optical architecture and experimental results on low cost multiview autostereoscopic projection display are presented. The display, containing only one high resolution projection panel and only one projection lens is capable of displaying multiview autostereoscopic images. Key components, applied in the display are segmented mirror for splitting the projection beam and one-dimensional diffuser with slanted axis of diffusion for viewing zone formation. Image distortions, inherent in the display have been compensated with opposite sign pre-distortion of projected perspective images.

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Low Computation Complexity Block Based Nonideality and Cross-talk Compensations for LCD Backlight

  • Han, Won-Jin;You, Jae-Hee
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.1316-1318
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    • 2009
  • Nonideality of LED lens and diffuser as well as crosstalk between backlights should be compensated because they have large effects on image qualities. The computation complexities of conventional compensations are greatly increased as resolution becomes higher. The block based compensation is proposed to alleviate the computation complexity considering backlight profiles and image pixel characteristics.

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Automatic Lung Segmentation using Hybrid Approach (하이브리드 접근 기법을 사용한 자동 폐 분할)

  • Yim, Yeny;Hong, Helen;Shin, Yeong-Gil
    • Journal of KIISE:Software and Applications
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    • v.32 no.7
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    • pp.625-635
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    • 2005
  • In this paper, we propose a hybrid approach for segmenting the lungs efficiently and automatically in chest CT images. The proposed method consists of the following three steps. first, lungs and airways are extracted by two- and three-dimensional automatic seeded region growing and connected component labeling in low-resolution. Second, trachea and large airways are delineated from the lungs by two-dimensional morphological operations, and the left and right lungs are identified by connected component labeling in low-resolution. Third, smooth and accurate lung region borders are obtained by refinement based on image subtraction. In experiments, we evaluate our method in aspects of accuracy and efficiency using 10 chest CT images obtained from 5 patients. To evaluate the accuracy, we Present results comparing our automatic method to manually traced borders from radiologists. Experimental results show that proposed method which use connected component labeling in low-resolution reduce processing time by 31.4 seconds and maximum memory usage by 196.75 MB on average. Our method extracts lung surfaces efficiently and automatically without additional processing like hole-filling.

Measurement of residual stress of steel filaments by using focused ion beam and digital image correlation (집속 이온빔과 디지털 화상 관련법를 이용한 고 탄소 미세 강선의 잔류 응력 측정)

  • Yang, Y.S.;Bae, J.G.;Kang, K.J.;Park, C.G.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2007.05a
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    • pp.241-245
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    • 2007
  • The residual stress in axial stress in the axial direction of the steel filaments has been measured by using a method based on the combination of the focused ion beam (FIB) and high resolution strain mapping program (VIC-2D). That is, the residual stress was calculated from the measured displacement field before and after the introduction of a slot along the steel filaments. The displacement was obtained by the digital correlation analysis of high-resolution scanning electron micrographs, while the slot was introduced by FIB milling with low energy beam. The present measurement revealed that the residual stress within 8% of the magnitude was persistent in the steel filaments fabricated.

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Detecting and Restoring the Occlusion Area for Generating Digital Orthophoto (대축척 정사보정영상 생성을 위한 폐색지역 탐지 및 복원)

  • 조우석;장휘정
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.10a
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    • pp.237-242
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    • 2003
  • During the past, digital orthophoto is generated for rural area or low resolution image, because the accurate extraction of DEM is difficult for urban area. But, nowadays, high resolution DEM by ALS system starts to become available for urban area, so the importance of large scale digital orthophoto generation becomes increasing. In this paper, we propose and describe effective algorithm for detecting occlusion area and not only restoring occlusion area but also processing null pixels by occlusion area for minimizing the heterogeneity of digital orthophoto. With proposed algorithm, we detected occlusion area due to height of structures such as buildings, bridges, etc, and restored occlusion area using reference image. Also, The homogeneity of generated digital orthophoto was improved by using brightness correction.

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Video coding using multi-resolution image (다중해상도 영상을 이용한 동영상 압축)

  • 배성호;박길흠
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.2
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    • pp.33-42
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    • 1997
  • In this paper, a video coding method in wavelet transformed multi-resolution image using variable block sized motion estimation and multi-codebook is proposed. In the propoed method, the accuracy of motion estimation is increased by using variable block matching algorithm based on edge type of blocks which estimation is increased by using variable block matching algoritm based on edge type of blocks which is classified accoridng to the magnitude of wavelet coefficients in vertical subband and horizontal subband of the highest layer. Also, we increased the flexibility of bit allocation and decreased vector quantization error for motion compensated error transmission by using importance of each subband. Some experimental results confirm that he proposed mothod has fine reconstructed images without blocking effect at low bit rate, and especially reconstructs edges well to which human eyes are sensitive.

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3-D underwater object restoration using ultrasonic transducer fabricated with porous piezoelectric resonator and neural network (다공질 압전소자로 제작한 초음파 트랜스듀서와 신경회로망을 이용한 3차원 수중 물체복원)

  • 조현철;박정학;사공건
    • Electrical & Electronic Materials
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    • v.9 no.8
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    • pp.825-830
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    • 1996
  • In this study, Characteristics of Ultrasonic Transducer fabricated with porous piezoelectric resonator, 3-D underwater object restoration using the self made ultrasonic transducer and modified SCL(Simple Competitive Learning) neural network are investigated. The self-made transducer was satisfied the required condition of ultrasonic transducer in water, and the modified SCL neural network using the acquired object data 16*16 low resolution image was used for object restoration of $32{\times}32$ high resolution image. The experimental results have shown that the ultrasonic transducer fabricated with porous piezoelectric resonator could be applied for SONAR system.

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