• Title/Summary/Keyword: Simulations of image distortion

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Photorealistic Ray-traced Visualization Process of an Aspherical Fresnel Mirror with Low Distortion

  • Hien Nguyen;Hieu Tran Doan Trung;Van Truong Vu;Hocheol Lee
    • Current Optics and Photonics
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    • v.8 no.5
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    • pp.493-501
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    • 2024
  • This study proposes an effective visualization method for image distortion in high-resolution, machinable Fresnel mirrors, which offer significant advantages over traditional convex mirrors by being thinner and lighter. While commercial optical design programs are excellent at optimizing aberrations, they have some limitations in visualizing images from complex optical configurations. Therefore, NXTM CAD software is employed to achieve photorealistic ray-traced visualization with high-fidelity image rendering due to its flexible two-dimensional and three-dimensional modeling environments. In comparative simulations with various mirror profiles, we identified an aspherical Fresnel mirror with a conic constant of k = -3 that can reduce distortion to 1.79%, according to Zemax OpticStudio® calculations. Finally, the NXTM software successfully validated the distortion image of our machinable aspherical Fresnel mirror design. Subsequent practical experiments validated the consistency between the predicted distortion and the actual visualization results. We anticipate that this specialized visualization technique holds the potential to radically transform the interactive design of optical systems that incorporate aspherical Fresnel mirrors.

Determining the Location of Metallic Needle from MR Images Distorted by Susceptibility Difference (자화율 차이로 인해 왜곡된 영상으로부터 금속 바늘의 위치 결정)

  • Kim, Eun-Ju;Kim, Dae-Hong
    • Investigative Magnetic Resonance Imaging
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    • v.14 no.2
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    • pp.87-94
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    • 2010
  • Purpose : To calculate the appearance of the image distortion from metallic artifacts and to determine the location of a metallic needle from a distorted MR image. Materials and Methods : To examine metal artifacts, an infinite metal cylinder in a strong magnetic field are assumed. The cylinder’s axis leaned toward the magnetic field along some arbitrary angle. The Laplace equation for this situation was solved to investigate the magnetic field distortion, and the simulation was performed to evaluation the image artifact caused by both readout and slice-selection gradient field. Using the result of the calculation, the exact locations of the metal cylinder were calculated from acquired images. Results : The distances between the center and the folded point are measured from images and calculated. Percentage errors between the measured and calculated distance were less than 5%, except for one case. Conclusion : The simulation was successfully performed when the metal cylinder was skewed at an arbitrary tilted angle relative to the main magnetic field. This method will make it possible to monitor and guide both biopsy and surgery with real time MRI.

Nonlinear shape resotration based on selective learning SOFM approach (선택적 SOFM 학습법을 사용한 비선형 형상왜곡 영상의 복원)

  • 한동훈;성효경;최흥문
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.34C no.1
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    • pp.59-64
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    • 1997
  • By using a selective learnable self-organizing feature map(SOFM) a more practical and generalized mehtod is proposed in which the effective nonlinear shape restoration is possible regardless of the existence of the distortion modelss. Nonlinear mapping relation is extracted from the distorted imate by using the proposed selective learning SOFGM which has the special property of effectively creating spatially organized internal representations and nonlinear relations of various input signals. For the exact extraction of the mapping relations between the distorted image and the original one, we define a disparity index as a proximal nmeasure of the present state to the final idealy trained state of the SOFM, and we used this index to adjust the training of the mapping relations form the weights of the SOFM. Simulations are conducted on various kinds of distorted images with or without distortion models, and the results show that the proposed method is very efficeint very efficient and practical in nonlinear shape restorations.

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Learning the nonlinearity of a camera calibration model using GMDH algorithm (GMDH 알고리즘에 의한 카메라 보정 모델의 비선형성 학습)

  • Kim, Myoung-Hwan;Do, Yong-Tae
    • Journal of Sensor Science and Technology
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    • v.14 no.2
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    • pp.109-115
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    • 2005
  • Calibration is a prerequisite procedure for employing a camera as a 3D sensor in an automated machines like robots. As accurate sensing is possible only when the vision sensor is calibrated accurately, many different approaches and models have been proposed for increasing calibration accuracy. Particularly an important factor which greatly affects the calibration accuracy is the nonlinearity in the mapping between 3D world and corresponding 2D image. In this paper GMDH algorithm is used to learn the nonlinearity without physical modelling. The technique proposed can be effective in various situations where the levels of noises and characteristics of nonlinear distortion are different. In simulations and an experiment, the proposed technique showed good and reliable results.

Simulations on Crosstalk of Pixel Voltage Compensation Methods (화소 전압 보상 방법에 대한 Crosstalk 특성 시뮬레이션)

  • Kim, Tae-Hyung;Park, Jae-Woo;Kim, Jin-Hong;Choi, Jong-Sun
    • Proceedings of the KIEE Conference
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    • 2000.11c
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    • pp.449-451
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    • 2000
  • Crosstalk is the primary cause of image distortion in active matrix liquid crystal displays (AMLCD). Crosstalk produces voltage errors that limit gray scale fidelity and consequently, degrades display resolution, contrast ratio, color fidelity, and image quality. In this study, crosstalk phenomena of some methods to compensate level shift voltages has been simulated. This will be contributed to find the way to design the excellent image quality of the TFT-LCDs.

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Structural Similarity Index for Image Assessment Using Pixel Difference and Saturation Awareness (이미지 평가를 위한 픽셀 변화량과 포화 인지의 구조적 유사도 기법)

  • Jeong, Ji-Soo;Kim, Young-Jin
    • Journal of KIISE
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    • v.41 no.10
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    • pp.847-858
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    • 2014
  • Until now, a lot of image quality assessment techniques or tools for optimal human visual system(HVS)-awareness have been researched and SSIM(Structural SIMilarity) and its improved techniques are representative examples. However, they often cannot cope with various images and different distortion types robustly, and thus this can cause a large gap between their index values and HVS-awareness. In this paper, we conduct image quality assessment on SSIM and its variants intensively and analyze the causes of each component function's observed anomalies. Then, we propose a novel image quality assessment technique to compensate and improve such anomalies. Additionally, through extensive image assessment simulations, we show that the proposed technique can indicate HVS-awareness more robustly and consistently than SSIM and its variants for various images and different distortion types.

Texture Image Database Retrieval Using JPEG-2000 Partial Entropy Decoding (JPEG-2000 부분 엔트로피 복호화에 의향 질감 영상 데이터베이스 검색)

  • Park, Ha-Joong;Jung, Ho-Youl
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.5C
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    • pp.496-512
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    • 2007
  • In this paper, we propose a novel JPEG-2000 compressed image retrieval system using feature vector extracted through partial entropy decoding. Main idea of the proposed method is to utilize the context information that is generated during entropy encoding/decoding. In the framework of JPEG-2000, the context of a current coefficient is determined depending on the pattern of the significance and/or the sign of its neighbors in three bit-plane coding passes and four coding modes. The contexts provide a model for estimating the probability of each symbol to be coded. And they can efficiently describe texture images which have different pattern because they represent the local property of images. In addition, our system can directly search the images in the JPEG-2000 compressed domain without full decompression. Therefore, our proposed scheme can accelerate the work of retrieving images. We create various distortion and similarity image databases using MIT VisTex texture images for simulation. we evaluate the proposed algorithm comparing with the previous ones. Through simulations, we demonstrate that our method achieves good performance in terms of the retrieval accuracy as well as the computational complexity.

An Enhanced Wavelet Packet Image Coder Using Coefficients Partitioning (계수분할을 이용한 개선된 워이블릿 패킷 영상 부호화 알고리듬)

  • 한수영;김홍렬;이기희
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.1
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    • pp.112-119
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    • 2002
  • We propose an enhanced wavelet packet image coder algorithm which is based on the coefficients partition. The proposed wavelet packet image coder uses the first-order entropy to reduce the total compression time, and achieves low bit rates and rate-distortion performance by the zero-tree based coding using correlations between coefficients partition. This new algorithm represents new parent-children relationships for reducing image reconstruction error using the correlations between each frequency subbands and then the wavelet packet coefficients are Partitioned by a new order. The computer simulations demonstrate higher PSNR under the same bit rate and improved image compression time and enhanced rate control compare with conventional algorithms. From the simulation results, it is shown that the encoding and decoding process of proposed coder are much simple and accurate than present method against texture images , which include many mid-frequency elements.

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Image Coding using Conditional Entropy Constrained Vector Quantization (조건부 엔트로피 제한 벡터 양자화를 이용한 영상 부호화)

  • Lee, Seung-Jun;Seo, Yong-Chang;Lee, Choong-Woong
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.11
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    • pp.88-96
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    • 1994
  • This paper proposes a new vector quantization scheme which exploits high correlations among indexes in vector quantization. An optimal vector quantizer in the rate-distortion sense can be obtained, if it is designed so that the average distortion can be minimized under the constraint of the conditional entropy of indes, which is usually much smaller than the entropy of index due to the high correlations among indexes of neighboring vectors. The oprimization process is very similar to that in ECVQ(entropy-constrained vector quanization) except that in the proposed scheme the Viterbi algorithm is introduced to find the optimal index sequence. Simulations show that at the same bitrate the proposed method provides higher PSNR by 1.0~3.0 dB than the conventional ECVQ when applied to image coding.

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Simulations of Pixel Characteristics for Large Size and High Qualify TFT-LCD using a new sophisticated Capacitance Formulas (새로운 정전용량 계산식물 이용한 대면적 .고화질 TFT-LCD의 화소 특성 시뮬레이션)

  • 윤영준;정순신;김태형;박재우;최종선
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1999.05a
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    • pp.613-616
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    • 1999
  • An active-matrix LCD using thin film transistors (TFTs)has been widely recognized as having potential for high-quality color flat-panel displays. Pixel-Design Array Simulation Tool (PDAST) was used to profoundly understand the gate signal distortion and pixel charging capability, which are the most critical limiting factors for high-quality TFT-LCDs. Since PDAST can simulate the gate data and pixel voltages of a certain pixel on TFT array at any time and at any location on an array, the effect of the new set of capacitance models on the pixel operations can be effectively analyzed, The set of models which is adopted from VLSI interconnections calculate more precise capacitance. The information obtained from this study could be utilized to design the larger area and finer image quality panel.

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