Sand-Dust Image Enhancement Using Chromatic Variance Consistency and Gamma Correction-Based Dehazing
In sand-dust environments, the low quality of images captured outdoors adversely affects many remote-based image processing and computer vision systems, because of severe color casts, low contrast, and poor visibility of sand-dust images. In such cases, conventional color correction methods do not g...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-11-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/23/9048 |
| _version_ | 1797462197902770176 |
|---|---|
| author | Jong-Ju Jeon Tae-Hee Park Il-Kyu Eom |
| author_facet | Jong-Ju Jeon Tae-Hee Park Il-Kyu Eom |
| author_sort | Jong-Ju Jeon |
| collection | DOAJ |
| description | In sand-dust environments, the low quality of images captured outdoors adversely affects many remote-based image processing and computer vision systems, because of severe color casts, low contrast, and poor visibility of sand-dust images. In such cases, conventional color correction methods do not guarantee appropriate performance in outdoor computer vision applications. In this paper, we present a novel color correction and dehazing algorithm for sand-dust image enhancement. First, we propose an effective color correction method that preserves the consistency of the chromatic variances and maintains the coincidence of the chromatic means. Next, a transmission map for image dehazing is estimated using the gamma correction for the enhancement of color-corrected sand-dust images. Finally, a cross-correlation-based chromatic histogram shift algorithm is proposed to reduce the reddish artifacts in the enhanced images. We performed extensive experiments for various sand-dust images and compared the performance of the proposed method to that of several existing state-of-the-art enhancement methods. The simulation results indicated that the proposed enhancement scheme outperforms the existing approaches in terms of both subjective and objective qualities. |
| first_indexed | 2024-03-09T17:33:05Z |
| format | Article |
| id | doaj.art-9e43cb49913b430dbc84ba5833e03cd4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T17:33:05Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9e43cb49913b430dbc84ba5833e03cd42023-11-24T12:07:36ZengMDPI AGSensors1424-82202022-11-012223904810.3390/s22239048Sand-Dust Image Enhancement Using Chromatic Variance Consistency and Gamma Correction-Based DehazingJong-Ju Jeon0Tae-Hee Park1Il-Kyu Eom2Department of Electronics Engineering, Pusan National University, 2 Busandaehak-ro 63 Beon-gil, Busan 46241, Republic of KoreaDepartment of Mechatronics Engineering, Tongmyong University, 428 Sinseon-ro, Nam-gu, Busan 48520, Republic of KoreaDepartment of Electronics Engineering, Pusan National University, 2 Busandaehak-ro 63 Beon-gil, Busan 46241, Republic of KoreaIn sand-dust environments, the low quality of images captured outdoors adversely affects many remote-based image processing and computer vision systems, because of severe color casts, low contrast, and poor visibility of sand-dust images. In such cases, conventional color correction methods do not guarantee appropriate performance in outdoor computer vision applications. In this paper, we present a novel color correction and dehazing algorithm for sand-dust image enhancement. First, we propose an effective color correction method that preserves the consistency of the chromatic variances and maintains the coincidence of the chromatic means. Next, a transmission map for image dehazing is estimated using the gamma correction for the enhancement of color-corrected sand-dust images. Finally, a cross-correlation-based chromatic histogram shift algorithm is proposed to reduce the reddish artifacts in the enhanced images. We performed extensive experiments for various sand-dust images and compared the performance of the proposed method to that of several existing state-of-the-art enhancement methods. The simulation results indicated that the proposed enhancement scheme outperforms the existing approaches in terms of both subjective and objective qualities.https://www.mdpi.com/1424-8220/22/23/9048sand-dust image enhancementchromatic variance consistencydehazinggamma correctioncross-correlationcolor correction |
| spellingShingle | Jong-Ju Jeon Tae-Hee Park Il-Kyu Eom Sand-Dust Image Enhancement Using Chromatic Variance Consistency and Gamma Correction-Based Dehazing Sensors sand-dust image enhancement chromatic variance consistency dehazing gamma correction cross-correlation color correction |
| title | Sand-Dust Image Enhancement Using Chromatic Variance Consistency and Gamma Correction-Based Dehazing |
| title_full | Sand-Dust Image Enhancement Using Chromatic Variance Consistency and Gamma Correction-Based Dehazing |
| title_fullStr | Sand-Dust Image Enhancement Using Chromatic Variance Consistency and Gamma Correction-Based Dehazing |
| title_full_unstemmed | Sand-Dust Image Enhancement Using Chromatic Variance Consistency and Gamma Correction-Based Dehazing |
| title_short | Sand-Dust Image Enhancement Using Chromatic Variance Consistency and Gamma Correction-Based Dehazing |
| title_sort | sand dust image enhancement using chromatic variance consistency and gamma correction based dehazing |
| topic | sand-dust image enhancement chromatic variance consistency dehazing gamma correction cross-correlation color correction |
| url | https://www.mdpi.com/1424-8220/22/23/9048 |
| work_keys_str_mv | AT jongjujeon sanddustimageenhancementusingchromaticvarianceconsistencyandgammacorrectionbaseddehazing AT taeheepark sanddustimageenhancementusingchromaticvarianceconsistencyandgammacorrectionbaseddehazing AT ilkyueom sanddustimageenhancementusingchromaticvarianceconsistencyandgammacorrectionbaseddehazing |