光学精密工程2025，Vol.33Issue(10)：1609-1626,18.DOI:10.37188/OPE.20253310.1609
浮选泡沫低照度图像颜色深度编解码校正及多尺度增强
Multi-scale enhancement and color depth codec correction of flotation foam low illumination images
摘要
Abstract
The environment of flotation site is harsh,and the lighting conditions are complicated and vari-able.For the flotation images collected on-site were prone to underexposure,color distortion,and other problems,a low-illumination image color depth coding and decoding correction and multiscale enhance-ment method was proposed.First,the low-illumination image was converted from RGB to HSV space,and for the value(V)component,the non-subsampled shearlet transform(NSST)was used to perform multi-scale decomposition.Second,a color depth codec correction network based on the global spatial module was proposed,and the color depth coding and decoding correction network model was constructed through squeeze extraction,color coding,color decoding,and color correction.Color correction was per-formed for the hue(H)and saturation(S)components.Then,the low-frequency subband images of the V component were enhanced by adaptive fuzzy set,and the noise components of each high-frequency sub-band image of the V component were effectively filtered out using the scale correlation coefficient,while the high-frequency edge coefficients were significantly enhanced using the nonlinear gain function.Finally,the enhanced images of the various subbands of the V component were reconstructed by the inverse trans-form of the NSST,and the reconstructed V component was fused with the corrected H and S components and converted back to RGB space.Experimental results demonstrate that,compared with current main-stream methods,the proposed method achieves an average reduction of 14.835 8 in CIEDE,an average increase of 8.48 dB in PSNR,and an average improvement of 31.32%in structural similarity,with the continuous edge pixel ratio maintained above 91%.The proposed method enhances image brightness,achieving higher contrast,clarity,and information entropy.The image colors are closer to true colors,preserving more texture details,and edges are enhanced while effectively suppressing noise.关键词
浮选泡沫/低照度图像/颜色校正/颜色深度编解码网络/多尺度增强与去噪/非下采样剪切波变换/模糊集Key words
flotation foam/low illumination images/color correction/color depth codec correction net-work/multi-scale enhancement and denoising/non-subsampled shearlet transform/fuzzy sets分类
信息技术与安全科学引用本文复制引用
孙磊,唐倩,廖一鹏,廖玉华,董则希,何建军..浮选泡沫低照度图像颜色深度编解码校正及多尺度增强[J].光学精密工程,2025,33(10):1609-1626,18.基金项目
国家自然科学基金资助项目(No.62271149,No.62271151) （No.62271149,No.62271151）
福建省自然科学基金项目(No.2019J01224) （No.2019J01224）
