지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2025.2
- 수록면
- 273 - 276 (4page)
- DOI
- 10.6109/jkiice.2025.29.2.273
이용수
초록· 키워드
오류제보하기
This study proposes an intelligent impulse denoising technique that utilizes sequential region expansion to address the limitations of traditional denoising methods such as mean and median filters. The proposed algorithm selectively identifies noisy pixels and adaptively expands the filtering region based on local noise density. This adaptive approach minimizes the processing of non-noisy pixels, thereby preserving important image details and maintaining visual fidelity. Extensive experiments on grayscale and color images validate the effectiveness of the proposed method. The
algorithm shows improved performance in noise reduction and detail preservation compared to conventional techniques, including adaptive and weighted median filters. Quantitative evaluations using Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) metrics demonstrate reliable performance across varying noise intensities, maintaining high image quality.
algorithm shows improved performance in noise reduction and detail preservation compared to conventional techniques, including adaptive and weighted median filters. Quantitative evaluations using Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) metrics demonstrate reliable performance across varying noise intensities, maintaining high image quality.
목차
ABSTRACT
Ⅰ. 서론
Ⅱ. 본론
Ⅲ. 실험 결과
Ⅳ. 결론
REFERENCES
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
An Effective Denoising Method for Images Contaminated with Mixed Noise Based on Adaptive Median Filtering and Wavelet Threshold Denoising
JIPS(Journal of Information Processing Systems)
2018 .01
-
Performance Analysis of Denoising Algorithms for Human Brain Image
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2018 .09
-
Efficient Noise Reduction Method Using Iterative Median Filter for Digital Images
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2015 .06
-
Deep Texture-adaptive Image Denoising for Practical Application
IEIE Transactions on Smart Processing & Computing
2022 .12
-
Smooth model of blasting seismic wave signal denoising based on two-stage denoising algorithm
Geosystem Engineering
2020 .01
-
영상 잡음 제거에서의 디테일 향상을 위한 심층 신경망
멀티미디어학회논문지
2019 .06
-
Hybrid Approach for Medical Image Denoising
Journal of information and communication convergence engineering
2025 .03
-
A Modified Steering Kernel Filter for AWGN Removal based on Kernel Similarity
Journal of information and communication convergence engineering
2022 .09
-
노이즈 수준 추정에 기반한 비지역적 영상 디노이징 방법 연구
한국산학기술학회 논문지
2017 .05
-
Feeding Longer Frames for Efficient Video Denoising Model
Journal of Computing Science and Engineering
2022 .12
-
Image Denoising Method based on Deep Learning using Improved U-net
IEIE Transactions on Smart Processing & Computing
2021 .08
-
가우시안 및 임펄스 잡음 제거를 위한 다이아몬드 마스크 형태의 저역 통과 필터 기법
대한전자공학회 학술대회
2017 .11
-
A study on image area analysis and improvement using denoising technique
전기전자학회논문지
2021 .09
-
Single Image Double Averaging for Smartphone Picture Denoising
Journal of KIISE
2023 .01
-
Image Global K-SVD Variational Denoising Method Based on Wavelet Transform
JIPS(Journal of Information Processing Systems)
2023 .06
-
Image Denoising with a Convolution Neural Network using Gaussian Filtered Residuals
IEIE Transactions on Smart Processing & Computing
2021 .04
-
영상의 영역 특성을 이용한 랜덤 임펄스 잡음 제거 필터
한국정보통신학회논문지
2023 .03
-
디테일 디스크립터를 이용한 이미지 영역 분석과 개선에 관한 연구
한국산학기술학회 논문지
2017 .06
-
효율적인 노이즈 제거를 위한 중간 값 기반 양방향 필터
한국컴퓨터정보학회논문지
2016 .12
-
잡음 섞인 이미지 업샘플링을 위한 적응적 최소자승법
대한전자공학회 학술대회
2023 .06
이 논문의 저자 정보
이 논문과 함께 이용한 논문
최근 본 자료
댓글(0)
0