针对海洋复杂成像环境导致的水下图像出现颜色衰退、对比度低等问题,提出一种改进的带色彩恢复的多尺度视网膜(Multi-Scale Retinex with Color Restore,MSRCR)与限制对比度自适应直方图均衡化(Contrast Limited Adaptive Histogram Equ...针对海洋复杂成像环境导致的水下图像出现颜色衰退、对比度低等问题,提出一种改进的带色彩恢复的多尺度视网膜(Multi-Scale Retinex with Color Restore,MSRCR)与限制对比度自适应直方图均衡化(Contrast Limited Adaptive Histogram Equalization,CLAHE)多尺度融合的水下图像增强算法。首先,采用带有导向滤波的MSRCR算法解决水下图像颜色衰退的问题;其次,采用带有Gamma校正的CLAHE算法以提高水下图像的对比度;最后,对经过改进的MSRCR和CLAHE处理后的图像进行多尺度融合以获得细节增强后的水下图像。实验结果表明,和其他算法相比,文中算法的峰值信噪比(Peak Signal to Noise Ratio,PSNR)平均提高了9.3914、结构相似性(Structural Similarity Index Measure,SSIM)平均提高了0.3013、水下图像评价指标(Underwater Image Quality Evaluation,UIQE)平均提高了4.7047,能实现水下图像的有效增强。展开更多
Underwater images degraded due to low contrast and visibility issues.Therefore,it is important to enhance the images and videos taken in the underwater environment before processing.Enhancement is a way to improve or ...Underwater images degraded due to low contrast and visibility issues.Therefore,it is important to enhance the images and videos taken in the underwater environment before processing.Enhancement is a way to improve or increase image quality and to improve the contrast of degraded images.The original image or video which is captured through image processing devices needs to improve as there are various issues such as less light available,low resolution,and blurriness in underwater images caused by the normal camera.Various researchers have proposed different solutions to overcome these problems.Dark channel prior(DCP)is one of the most used techniques which produced a better Peak Signal to Noise Ratio(PSNR)value.However,DCP has some issues such as it tends to darken images,reduce contrast,and produce halo effects.The proposed method solves these issues with the help of contrast-limited adaptive histogram equalization(CLAHE)and the Adaptive Color Correction Method.The proposed method was assessed using Japan Agency for Marine-Earth Science and Technology(JAMSTEC),and some images were collected from the internet.The measure of entropy(MOE),Measure of Enhancement(EME),Mean Square Error(MSE),and PSNR opted as performance measures during experiments.The values of MSE and PSNR achieved by the proposed framework are 0.26 and 32 respectively which shows better results.展开更多
Aiming at the scattering and absorption of light in the water body,which causes the problems of color shift,uneven brightness,poor sharpness and missing details in the acquired underwater images,an underwater image en...Aiming at the scattering and absorption of light in the water body,which causes the problems of color shift,uneven brightness,poor sharpness and missing details in the acquired underwater images,an underwater image enhancement algorithm based on IMSRCR and CLAHE-WGIF is proposed.Firstly,the IMSRCR algorithm proposed in this paper is used to process the original underwater image with adaptive color shift correction;secondly,the image is converted to HSV color space,and the segmentation exponential algorithm is used to process the S component to enhance the image saturation;finally,multi-scale Retinex is used to decompose the V component image into detail layer and base layer,and adaptive two-dimensional gamma correction is made to the base layer to adjust the brightness unevenness,while the detail layer is processed by CLAHE-WGIF algorithm to enhance the image contrast and detail information.The experimental results show that our algorithm has some advantages over existing algorithms in both subjective and objective evaluations,and the information entropy of the image is improved by 6.3%on average,and the UIQM and UCIQE indexes are improved by 12.9%and 20.3%on average.展开更多
文摘针对海洋复杂成像环境导致的水下图像出现颜色衰退、对比度低等问题,提出一种改进的带色彩恢复的多尺度视网膜(Multi-Scale Retinex with Color Restore,MSRCR)与限制对比度自适应直方图均衡化(Contrast Limited Adaptive Histogram Equalization,CLAHE)多尺度融合的水下图像增强算法。首先,采用带有导向滤波的MSRCR算法解决水下图像颜色衰退的问题;其次,采用带有Gamma校正的CLAHE算法以提高水下图像的对比度;最后,对经过改进的MSRCR和CLAHE处理后的图像进行多尺度融合以获得细节增强后的水下图像。实验结果表明,和其他算法相比,文中算法的峰值信噪比(Peak Signal to Noise Ratio,PSNR)平均提高了9.3914、结构相似性(Structural Similarity Index Measure,SSIM)平均提高了0.3013、水下图像评价指标(Underwater Image Quality Evaluation,UIQE)平均提高了4.7047,能实现水下图像的有效增强。
基金Researchers Supporting Project Number(RSP2022R458),King Saud University,Riyadh,Saudi Arabia.
文摘Underwater images degraded due to low contrast and visibility issues.Therefore,it is important to enhance the images and videos taken in the underwater environment before processing.Enhancement is a way to improve or increase image quality and to improve the contrast of degraded images.The original image or video which is captured through image processing devices needs to improve as there are various issues such as less light available,low resolution,and blurriness in underwater images caused by the normal camera.Various researchers have proposed different solutions to overcome these problems.Dark channel prior(DCP)is one of the most used techniques which produced a better Peak Signal to Noise Ratio(PSNR)value.However,DCP has some issues such as it tends to darken images,reduce contrast,and produce halo effects.The proposed method solves these issues with the help of contrast-limited adaptive histogram equalization(CLAHE)and the Adaptive Color Correction Method.The proposed method was assessed using Japan Agency for Marine-Earth Science and Technology(JAMSTEC),and some images were collected from the internet.The measure of entropy(MOE),Measure of Enhancement(EME),Mean Square Error(MSE),and PSNR opted as performance measures during experiments.The values of MSE and PSNR achieved by the proposed framework are 0.26 and 32 respectively which shows better results.
文摘Aiming at the scattering and absorption of light in the water body,which causes the problems of color shift,uneven brightness,poor sharpness and missing details in the acquired underwater images,an underwater image enhancement algorithm based on IMSRCR and CLAHE-WGIF is proposed.Firstly,the IMSRCR algorithm proposed in this paper is used to process the original underwater image with adaptive color shift correction;secondly,the image is converted to HSV color space,and the segmentation exponential algorithm is used to process the S component to enhance the image saturation;finally,multi-scale Retinex is used to decompose the V component image into detail layer and base layer,and adaptive two-dimensional gamma correction is made to the base layer to adjust the brightness unevenness,while the detail layer is processed by CLAHE-WGIF algorithm to enhance the image contrast and detail information.The experimental results show that our algorithm has some advantages over existing algorithms in both subjective and objective evaluations,and the information entropy of the image is improved by 6.3%on average,and the UIQM and UCIQE indexes are improved by 12.9%and 20.3%on average.
