The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam kertas kerja ini, kaedah berasaskan algoritma ER (Error-Reduction) untuk mengeluarkan titisan air yang melekat daripada imej yang diperolehi oleh kamera pandangan belakang yang dipasang pada kenderaan dalam keadaan hujan dicadangkan. Memandangkan kekangan domain Fourier dan domain objek diperlukan untuk mana-mana kaedah berasaskan algoritma ER, kaedah yang dicadangkan memperkenalkan dua kekangan novel berikut untuk penyingkiran titisan air yang melekat. Yang pertama ialah kekangan domain Fourier yang menggunakan magnitud transformasi Fourier bagi bingkai sebelumnya dalam imej yang diperoleh seperti bingkai sasaran. Menyedari bahawa imej yang diperolehi oleh kamera pandangan belakang mempunyai ciri unik objek yang bergerak seperti riak kerana kamera pandangan belakang biasanya terdiri daripada kanta mata ikan untuk sudut pandangan yang luas, kaedah yang dicadangkan mengandaikan bahawa magnitud transformasi Fourier sasaran bingkai dan bingkai sebelumnya adalah sama dalam sistem koordinat kutub. Kekangan kedua ialah kekangan domain-objek yang menggunakan keamatan dalam kawasan kerangka sasaran yang telah dipatuhi titisan air. Secara khusus, kaedah yang dicadangkan memodelkan proses kemerosotan keamatan yang rosak oleh titisan air yang melekat pada lensa kamera pandangan belakang. Dengan menggunakan kekangan baru ini, algoritma ER yang dicadangkan boleh mengeluarkan titisan air yang melekat daripada imej yang diperolehi oleh kamera pandangan belakang. Keputusan eksperimen yang mengesahkan prestasi kaedah yang dicadangkan diwakili.
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Salinan
Tomoki HIRAMATSU, Takahiro OGAWA, Miki HASEYAMA, "An ER Algorithm-Based Method for Removal of Adherent Water Drops from Images Obtained by a Rear View Camera Mounted on a Vehicle in Rainy Conditions" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 8, pp. 1939-1949, August 2009, doi: 10.1587/transfun.E92.A.1939.
Abstract: In this paper, an ER (Error-Reduction) algorithm-based method for removal of adherent water drops from images obtained by a rear view camera mounted on a vehicle in rainy conditions is proposed. Since Fourier-domain and object-domain constraints are needed for any ER algorithm-based method, the proposed method introduces the following two novel constraints for the removal of adherent water drops. The first one is the Fourier-domain constraint that utilizes the Fourier transform magnitude of the previous frame in the obtained images as that of the target frame. Noting that images obtained by the rear view camera have the unique characteristics of objects moving like ripples because the rear view camera is generally composed of a fish-eye lens for a wide view angle, the proposed method assumes that the Fourier transform magnitudes of the target frame and the previous frame are the same in the polar coordinate system. The second constraint is the object-domain constraint that utilizes intensities in an area of the target frame to which water drops have adhered. Specifically, the proposed method models a deterioration process of intensities that are corrupted by the water drop adhering to the rear view camera lens. By utilizing these novel constraints, the proposed ER algorithm can remove adherent water drops from images obtained by the rear view camera. Experimental results that verify the performance of the proposed method are represented.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.1939/_p
Salinan
@ARTICLE{e92-a_8_1939,
author={Tomoki HIRAMATSU, Takahiro OGAWA, Miki HASEYAMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An ER Algorithm-Based Method for Removal of Adherent Water Drops from Images Obtained by a Rear View Camera Mounted on a Vehicle in Rainy Conditions},
year={2009},
volume={E92-A},
number={8},
pages={1939-1949},
abstract={In this paper, an ER (Error-Reduction) algorithm-based method for removal of adherent water drops from images obtained by a rear view camera mounted on a vehicle in rainy conditions is proposed. Since Fourier-domain and object-domain constraints are needed for any ER algorithm-based method, the proposed method introduces the following two novel constraints for the removal of adherent water drops. The first one is the Fourier-domain constraint that utilizes the Fourier transform magnitude of the previous frame in the obtained images as that of the target frame. Noting that images obtained by the rear view camera have the unique characteristics of objects moving like ripples because the rear view camera is generally composed of a fish-eye lens for a wide view angle, the proposed method assumes that the Fourier transform magnitudes of the target frame and the previous frame are the same in the polar coordinate system. The second constraint is the object-domain constraint that utilizes intensities in an area of the target frame to which water drops have adhered. Specifically, the proposed method models a deterioration process of intensities that are corrupted by the water drop adhering to the rear view camera lens. By utilizing these novel constraints, the proposed ER algorithm can remove adherent water drops from images obtained by the rear view camera. Experimental results that verify the performance of the proposed method are represented.},
keywords={},
doi={10.1587/transfun.E92.A.1939},
ISSN={1745-1337},
month={August},}
Salinan
TY - JOUR
TI - An ER Algorithm-Based Method for Removal of Adherent Water Drops from Images Obtained by a Rear View Camera Mounted on a Vehicle in Rainy Conditions
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1939
EP - 1949
AU - Tomoki HIRAMATSU
AU - Takahiro OGAWA
AU - Miki HASEYAMA
PY - 2009
DO - 10.1587/transfun.E92.A.1939
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2009
AB - In this paper, an ER (Error-Reduction) algorithm-based method for removal of adherent water drops from images obtained by a rear view camera mounted on a vehicle in rainy conditions is proposed. Since Fourier-domain and object-domain constraints are needed for any ER algorithm-based method, the proposed method introduces the following two novel constraints for the removal of adherent water drops. The first one is the Fourier-domain constraint that utilizes the Fourier transform magnitude of the previous frame in the obtained images as that of the target frame. Noting that images obtained by the rear view camera have the unique characteristics of objects moving like ripples because the rear view camera is generally composed of a fish-eye lens for a wide view angle, the proposed method assumes that the Fourier transform magnitudes of the target frame and the previous frame are the same in the polar coordinate system. The second constraint is the object-domain constraint that utilizes intensities in an area of the target frame to which water drops have adhered. Specifically, the proposed method models a deterioration process of intensities that are corrupted by the water drop adhering to the rear view camera lens. By utilizing these novel constraints, the proposed ER algorithm can remove adherent water drops from images obtained by the rear view camera. Experimental results that verify the performance of the proposed method are represented.
ER -