Researching | Multidomain Block Lowilluminance Image Enhancement Algithm Combined with Geic Algithm

Journals >Acta Photonica Sinica >Volume 51 >Issue 4 >Page 0410007 > Article

Acta Photonica Sinica
Vol. 51, Issue 4, 0410007 (2022)

Multi-domain Block Low-illuminance Image Enhancement Algorithm Combined with Genetic Algorithm

Gaiyun WANG¹, Zhichao GUO^1、*, Haoxiang LU², Jiazhuo LU¹, and Qi ZHANG¹

Author Affiliations

¹School of Electronic Engineering and Automation，Guilin University of Electronic technology，Guilin，Guangxi 541004，China

²School of Computer Science and information Security，Guilin University of Electronic technology，Guilin，Guangxi 541004，China

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DOI: 10.3788/gzxb20225104.0410007 Cite this Article

Gaiyun WANG, Zhichao GUO, Haoxiang LU, Jiazhuo LU, Qi ZHANG. Multi-domain Block Low-illuminance Image Enhancement Algorithm Combined with Genetic Algorithm[J]. Acta Photonica Sinica, 2022, 51(4): 0410007 Copy Citation Text

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References

[1] Weimin TAO, Mingjun ZHANG. A genetic algorithm-based area coverage approach for controlled drug delivery using microrobots. Nanomedicine: Nanotechnology, Biology and Medicine, 1, 91-100(2005).

[2] J WODECKI, A MICHALAK, R ZIMROZ. Optimal filter design with progressive genetic algorithm for local damage detection in rolling bearings. Mechanical Systems and Signal Processing, 102, 102-116(2018).

[3] Y KURMI, V CHAURASIA. Content-based image retrieval algorithm for nuclei segmentation in histopathology images. Multimedia Tools and Applications, 80, 3017-3037(2021).

[4] T KÜNTZLER, T HÖFLING, G ALPERS et al. Automatic facial expression recognition in standardized and non-standardized emotional expressions. Frontiers in Psychology, 12, 627561(2021).

[5] Jiayuan LI, Qingwu HU, Mingyao AI. Haze and thin cloud removal via sphere model improved dark channel prior. IEEE Geoscience and Remote Sensing Letters, 16, 472-476(2019).

[6] Dianwei WANG, Weichao YAN, Tingge ZHU et al. An adaptive correction algorithm for non-uniform illumination panoramic images based on the improved bilateral gamma function, 878-883(2017).

[7] B GUPTA, T AGARWAL. New contrast enhancement approach for dark images with non-uniform illumination, 616-630(2018).

[8] R CHANDRASEKHARAN, M SASIKUMAR. Fuzzy transform for contrast enhancement of nonuniform illumination images. IEEE Signal Process, 25, 813-817(2018).

[9] Zhenqiang YING, Ge LI, Yurui REN et al. A new low-light image enhancement algorithm using camera response model, 3015-3022(2017).

[10] Kun LIANG, Yong MA, Yue XIE et al. A new adaptive contrast enhancement algorithm for infrared images based on double plateaus histogram equalization. Infrared Physics & Technology, 55, 309-315(2012).

[11] Shuo LI, Weiqi JIN, Li LI et al. An improved contrast enhancement algorithm for infrared images based on adaptive double plateaus histogram equalization. Infrared Physics & Technology, 90, 164-174(2018).

[12] A BHANDARI, S MAURYA. Cuckoo search algorithm-based brightness preserving histogram scheme for low-contrast image enhancement. Soft Computing, 24, 1619-1645(2020).

[13] A BHANDARI, P KANDHWAY, S MAURYA. Salp swarm algorithm-based optimally weighted histogram framework for image enhancement. IEEE Transactions on Instrumentation and Measurement, 69, 6807-6815(2020).

[14] K HUANG, Z WU, Q WANG. Image enhancement based on the statistics of visual representation. Image and Vision Computing, 23, 51-57(2005).

[15] S NERCESSIAN, K PANETTA, S AGAIAN. Non-linear direct multi-scale image enhancement based on the luminance and contrast masking characteristics of the human visual system. IEEE Transactions on Image Processing, 22, 3549-3561(2013).

[16] E LAND. The retinex theory of color vision. Scientific American, 237, 108-129(1977).

[17] Shuhang WANG, Jin ZHENG, Haimiao HU et al. Naturalness preserved enhancement algorithm for non-uniform illumination images. IEEE Transactions on Image Process, 22, 3538-3548(2013).

[18] Xueyang FU, Delu ZENG, Yue HUANG et al. A weighted variational model for simultaneous reflectance and illumination estimation, 2782-2790(2016).

[19] Ying QI, Shangbo ZHOU, Zihan ZHANG et al. Deep unsupervised learning based on color un-referenced loss functions for multi-exposure image fusion, 18-39(2021).

[20] Bin XIAO, Yunqiu XU, Han TANG et al. Histogram learning in image contrast enhancement, 1880-1889(2019).

[21] Feifan LV, Yu LI, Feng LU. Attention guided low-light image enhancement with a large scale low-light simulation dataset. International Journal of Computer Vision, 129, 2175-2193(2021).

[22] Peng LI, Yong HUANG, Kunlun YAO. Multi-algorithm fusion of RGB and HSV color spaces for image enhancement, 9584-9589(2018).

[23] Zhi LI, Zhenhong JIA, Jie YANG. Low illumination video image enhancement. IEEE Photonics Journal, 12, 746(2020).

[24] Zhuqing JIANG, Haotian LI, Liangjie LIU. A switched view of Retinex deep self-regularized low-light image enhancement. Neurocomputing, 454, 361-372(2021).

[25] B HAM, M CHO, J PONCE. Robust guided image filtering using nonconvex potentials. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40, 192-207(2018).

[26] C OCHOTORENA, Y YAMASHITA. Anisotropic guided filtering. IEEE Transactions on Image Processing, 29, 1397-1412(2020).

[27] J SHIN, M KIM, J PAIK. Radiance-reflectance combined optimization and structure-guided norm for single image dehazing. IEEE Transactions on Multimedia, 22, 30-44(2020).

[28] S LIU, Q HU, X TONG et al. A multi-scale superpixel-guided filter feature extraction and selection approach for classification of very-high-resolution remotely sensed imagery. Remote Sensing, 12, 862(2020).

[29] Ming FENG, Yi LIU, Pengcheng ZHANG et al. Improved adaptive image enhancement algorithm for unsharp mask. Journal of Test and Measurement Technology, 34, 48-53(2020).

[30] Qiuhong WANG, Xueyang FU, Xiaoping ZHANG et al. A fusion-based method for single backlit image enhancement, 4077-4081(2016).

[31] S PARE, A KUMAR, G SINGH et al. Image segmentation using multilevel thresholding: a research review. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 44, 1-29(2020).

[32] S PARE, A BHANDARI, G SINGH. A new technique for multilevel color image thresholding based on modified fuzzy entropy and Lévy flight firefly algorithm. Computers & Electrical Engineering, 70, 476-495(2018).

[33] Yanxia CAI, Yanyan XU, Tierui ZHANG et al. Threshold image target segmentation technology based on intelligent algorithms. Computer Optics, 44, 137-141(2020).

[34] Shaohui LIN, Ling CAI, Xianming LIN et al. Masked face detection via a modified LeNet. Neurocomputing, 218, 197-202(2016).

[35] Zhenbing LIU, Kaijie WANG, Zimin WANG et al. PatchNet: a tiny low-light image enhancement net. Journal of Electronic Imaging, 30, 1-13(2021).

[36] G SANJAY, C KUNAL. Fast bright-pass bilateral filtering for low-light enhancement, 205-209(2019).

[37] Chunle GUO, Chongyi LI, Jichang GUO et al. Zero-reference deep curve estimation for low-light image enhancement, 1780-1789(2020).

[38] Qiang DAI, Yifei PU, Z RAHMAN et al. Fractional-order fusion model for low-light image enhancement. Symmetry, 11, 574(2019).

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Gaiyun WANG, Zhichao GUO, Haoxiang LU, Jiazhuo LU, Qi ZHANG. Multi-domain Block Low-illuminance Image Enhancement Algorithm Combined with Genetic Algorithm[J]. Acta Photonica Sinica, 2022, 51(4): 0410007

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