• Title/Summary/Keyword: 스케일 제거

Search Result 152, Processing Time 0.031 seconds

Adaptive Non-Local Means Denoising Algorithm Using Down-Scaled Images (다운 스케일 영상을 이용한 적응적인 비국부 평균 노이즈 제거 방식)

  • Nguyen, Tuan-Anh;Kim, Dong Young;Hong, Min-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.40 no.1
    • /
    • pp.55-57
    • /
    • 2015
  • This paper presents an adaptive non-local means denoising algorithm using down-scaled images. This work provides a method to reduce artifacts and information loss around context region by increasing the number of similar patches for high activity region with down-scaled images. Experimental results demonstrate that the proposed algorithm outperforms the non-local means algorithm more than 1.5 (dB).

Piecewise Image Denoising with Multi-scale Block Region Detector based on Quadtree Structure (쿼드트리 기반의 다중 스케일 블록 영역 검출기를 통한 구간적 영상 잡음 제거 기법)

  • Lee, Jeehyun;Jeong, Jechang
    • Journal of Broadcast Engineering
    • /
    • v.20 no.4
    • /
    • pp.521-532
    • /
    • 2015
  • This paper presents a piecewise image denoising with multi-scale block region detector based on quadtree structure for effective image restoration. Proposed piecewise image denoising method suggests multi-scale block region detector (MBRD) by dividing whole pixels of a noisy image into three parts, with regional characteristics: strong variation region, weak variation region, and flat region. These regions are classified according to total pixels variation between multi-scale blocks and are applied principal component analysis with local pixel grouping, bilateral filtering, and structure-preserving image decomposition operator called relative total variation. The performance of proposed method is evaluated by Experimental results. we can observe that region detection results generated by the detector seems to be well classified along the characteristics of regions. In addition, the piecewise image denoising provides the positive gain with regard to PSNR performance. In the visual evaluation, details and edges are preserved efficiently over the each region; therefore, the proposed method effectively reduces the noise and it proves that it improves the performance of denoising by the restoration process according to the region characteristics.

Study on Scale Control of Hard Water using High Voltage Impulse Generation (고전압 임펄스를 이용한 용수의 스케일 발생 제어에 관한 연구)

  • Jung, Jae-hwan;Kim, Chul-ho;Lee, June-Ho;Kim, Tae-hui;Jang, In-soung
    • Proceedings of the KIEE Conference
    • /
    • 2015.07a
    • /
    • pp.1167-1168
    • /
    • 2015
  • 본 연구는 고전압 임펄스를 이용하여 용수의 스케일 발생 제어가 가능한 조건을 찾는 것을 목표로 하고 있으며 약 100[ppm]의 농도를 갖는 용액을 1[L]제조하여 임펄스 전압 5[kV], 8[kV], 12[kV]를 4시간동안 인가한 회분식 조건의 실험으로써 임펄스 전압의 크기가 증가함에 따라 칼슘이온의 제거율이 8.7[%], 15.6[%], 16.3[%]로 나타났다. 또한 임펄스전압 20[kV]를 20시간동안 인가한 조건에서 칼슘이온 제거율이 약 50[%]에 도달하였다. 연속식 실험은 회분식 실험과 달리 투입과 배출을 중단 없이 연속적으로 용액을 순환시키는 실험으로써 임펄스 전압이 인가되는 반응기가 수용한 용액에 체류 시간에 따라 칼슘제거율을 비교하였다. 일정시간이 되면 배출되는 용액의 칼슘제거율을 측정 하였다. 정량펌프와 정량호스를 이용하여 유량을 8.33[mL/min]으로 조절한 후 임펄스전압 12[kV]를 20시간 인가한 결과 임펄스 전압이 인가되는 반응기내에서 제조된 용액이 체류되는 시간 이후 칼슘제거율이 체류시간에 따라 포화(Saturation)되는 경향을 보였다.

  • PDF

Blocking artifact reduction using singularities detection and Lipschitz regularity from multiscale edges (다층스케일 웨이블릿 변환영역에서 특이점 검출 및 Lipschitz 정칙 상수를 이용한 블록화 현상 제거)

  • Lee, Suk-Hwan;Kwon, Kee-Koo;Kim, Byung-Ju;Kwon, Seong-Geun;Lee, Jong-Won;Lee, Kuhn-Il
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.27 no.10A
    • /
    • pp.1011-1020
    • /
    • 2002
  • The current paper presents an effective deblocking algorithm for block-based coded images using singularity detection in a wavelet transform. In block-based coded images, the local maxima of a wavelet transform modulus detect all singularities, including blocking artifacts, from multiscale edges. Accordingly, the current study discriminates between a blocking artifact and an edge by estimation the Lipschitz regularity of the local maxima and removing the wavelet transform modulus of a blocking artifact that has a negative Lipschitz regularity exponent. Experimental results showed that the performance of the proposed algorithm was objectively and subjectively superior.

A study on the reliability enhancement of Ultrasonic water treatment system to boiler (보일러 초음파 수처리장치의 신뢰성향상에 관한 연구)

  • Kim, Dae-Ryong;Lee, Keun-Oh
    • Journal of Energy Engineering
    • /
    • v.22 no.3
    • /
    • pp.287-293
    • /
    • 2013
  • This study was carried out to diminish the formation of scale in boilers which is one of the defect elements when they are operating. The defect relating to scale can cause a fatal impact on the explosion of boilers due to the overheating of their tubes, or it can affect the flow of water inside boilers with its bad circulation and result in a disparity of water inside the equipment. Heat transfer in the scale is low comparing to the boiler material, so it can lead to energy losses and has also impact on the global warming. In 2005, the Korean government introduced a system which requires boiler users to install the equipment which can prevent or eliminate the formation of scale to improve the management of water quality in boilers. The study on the techniques for preventing or eliminating the formation of scale started in 1821 and since then subsequently there have been lots of similar studies. The first one was about the scale reduction using potato starch. Since an ultrasonic scale preventer developed by a scientist from a Russian acoustic institute was introduced in1993, a variety of equipment of this kind have been disseminated in Korea. There has been a need to demonstrate the condition for the best performances of such equipment. Boilers are mostly composed of the main body and 288 the tube with a circular curved surface. I carried out a demonstration study on a circular tube which affects the scale defect the most among the boiler components. As a result of it, I found out the fact that the ultrasonic wave needs to reach a certain level of sound pressure and frequency to affect the formation of scale.

Image Scale Prediction Using Key-point Clusters on Multi-scale Image Space (다중 스케일 영상 공간에서 특징점 클러스터를 이용한 영상스케일 예측)

  • Ryu, kwon-Yeal
    • Journal of the Institute of Convergence Signal Processing
    • /
    • v.19 no.1
    • /
    • pp.1-6
    • /
    • 2018
  • In this paper, we propose the method to eliminate repetitive processes for key-point detection on multi-scale image space. The proposed method detects key-points from the original image, and select a good key-points using the cluster filters, and create the key-point clusters. And it select reference objects by using direction angles of the key-point clusters, predict the scale of the original image by using the distributed distance ratio. It transform the scale of the reference image, and apply the detection of key-points to the transformed reference image. In the results of the experiment, the proposed method can be found to improve the key-points detection time by 75 % and 71 % compared to SIFT method and scaled ORB method using the multi-scale images.

Multi-scale Image Segmentation Using MSER and its Application (MSER을 이용한 다중 스케일 영상 분할과 응용)

  • Lee, Jin-Seon;Oh, Il-Seok
    • The Journal of the Korea Contents Association
    • /
    • v.14 no.3
    • /
    • pp.11-21
    • /
    • 2014
  • Multi-scale image segmentation is important in many applications such as image stylization and medical diagnosis. This paper proposes a novel segmentation algorithm based on MSER(maximally stable extremal region) which captures multi-scale structure and is stable and efficient. The algorithm collects MSERs and then partitions the image plane by redrawing MSERs in specific order. To denoise and smooth the region boundaries, hierarchical morphological operations are developed. To illustrate effectiveness of the algorithm's multi-scale structure, effects of various types of LOD control are shown for image stylization. The proposed technique achieves this without time-consuming multi-level Gaussian smoothing. The comparisons of segmentation quality and timing efficiency with mean shift-based Edison system are presented.

High Dynamic Range Image Tone Mapping Method by Using Local Edge-Preserving Filter and Mean Filter (지역 엣지 보존 필터와 평균 필터를 이용한 HDR 이미지 톤 매핑 기법)

  • Kim, Hyungi;Choi, Hyunho;Jeong, Jechang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
    • /
    • 2017.06a
    • /
    • pp.55-58
    • /
    • 2017
  • 본 논문에서는 넓은 동적 영역(High Dynamic Range: HDR) 이미지에 지역 엣지 보존 필터를 적용한 개선된 다중 스케일 톤 매핑 기법을 제안하고자 한다. 기존 알고리듬의 다중 스케일 분해 과정에서는 과도하게 많은 정보를 보존하여 결과 이미지가 비현실적으로 표현되고 일부 테스트 이미지에서는 화소 값 변화량이 큰 엣지 영역에서 후광 효과가 발생하는 단점이 있다. 본 논문에서는 기존 알고리듬의 다중 스케일 분해 과정을 개선하여 엣지를 적절히 보존함으로써 후광 효과를 제거함과 동시에 주관적 화질을 향상시켰다.

  • PDF