Deep sea image enhancement algorithm based on distance model
09 Aug 2018-Vol. 10806, pp 1080629
TL;DR: The experimental results show that this algorithm can effectively restore the uneven of the illumination due to the submarine conditions and adaptively expose the image based on the exposure coefficient to achieve the purpose of enhancing the image.
Abstract: In the process of deep sea image acquisition, the illumination of the image is uneven due to the limitation of the deep sea imaging conditions. In this case, an image enhancement algorithm for auto adaptive exposure is proposed. First the algorithm calculates the distance between the light source and the imaging object based on the previous and the next frame, then calculate the exposure coefficient based on the distance, and then adaptively expose the image based on the exposure coefficient to achieve the purpose of enhancing the image. The experimental results show that this algorithm can effectively restore the uneven of the illumination due to the submarine conditions.
Citations
More filters
Journal Article•
TL;DR: The new method has solved the problem of determining the image gray-level scale in the mapping transformation, is an effective image enhancement method and the brightness and contrast of the image are improved.
Abstract: Aiming at the difficulty in determining the mapping range in gray-level transformation,a novel image enhancement method based on mapping threshold is proposed. The lowest point between target area and background area is searched automatically in the mapping transformation of histogram gray-level. Then it is operated as a threshold for mapping of image gray-level scale so as to adjust the gray coverage of the image. Finally,the brightness and contrast of the image are improved. Experiment analysis demonstrates that,the proposed method can adjust the image dynamic gray-level range so that obtain better enhancement effects than conventional gray histogram transformation. The new method has solved the problem of determining the image gray-level scale in the mapping transformation,is an effective image enhancement method.
1 citations
References
More filters
TL;DR: A new underwater model to compensate the attenuation discrepancy along the propagation path, and a fast joint trigonometric filtering dehazing algorithm are proposed, which are comparable to higher quality than the state-of-the-art methods by assuming in the latest image evaluation systems.
391 citations
Additional excerpts
...And method using joint trilateral filter[10]....
[...]
15 Mar 2005
TL;DR: It is shown that the additional use of adaptive smoothing helps to address the remaining sources of noise and can significantly improve edge detection in the images.
Abstract: A major obstacle to underwater operations using cameras comes from the light absorption and scattering by the marine environment, which limits the visibility distance up to a few meters in coastal waters. Current preprocessing methods typically only concentrate on local contrast equalization in order to deal with the nonuniform lighting caused by the back scattering. We review these techniques, then go further and show that the additional use of adaptive smoothing helps to address the remaining sources of noise and can significantly improve edge detection in the images. Many results on real data are provided and discussed using a custom numerical criterion.
50 citations
20 Jun 2005
TL;DR: This work proposes a complete preprocessing framework able to handle the entire spectrum of noises present in underwater images, and shows that most, if not all of this preprocessing can be done with very generic methods that do not need any knowledge of the scene or of the turbidity characteristics of the water, while still remaining coherent with the underwater images formation model.
Abstract: A major hindrance to underwater operations using cameras comes from the light absorption and scattering by the marine environment, which limits the visibility distance up to a few meters in coastal waters when using low-end cameras. We propose a complete preprocessing framework able to handle the entire spectrum of noises present in underwater images. We show that most, if not all of this preprocessing can be done with very generic methods that do not need any knowledge of the scene or of the turbidity characteristics of the water, while still remaining coherent with the underwater images formation model.
49 citations
01 Jun 2017
TL;DR: An improved image defogging algorithm based on Retinex, which consists of two parts: HSV color enhancement and RGB space detail enhancement, is proposed, which has better image quality than the original one.
Abstract: We propose an improved image defogging algorithm based on Retinex, which consists of two parts: HSV color enhancement and RGB space detail enhancement. Through the single-scale Retinex algorithm to enhance the brightness component, in HSV space to introduce enhanced adjustment factor, to avoid color distortion and noise amplification, to achieve the effect of color enhancement. In the RGB space, based on the single-scale Retinex algorithm, the Gaussian filter is replaced by a Butterworth filter for detail enhancement to achieve better results. Finally, the two images are fused to make up for the loss of detail and color distortion of Retinex algorithm. The image is evaluated from both subjective and objective aspects, and it is proved that the improved algorithm has better image quality than the original one.
24 citations
Journal Article•
TL;DR: The new method has solved the problem of determining the image gray-level scale in the mapping transformation, is an effective image enhancement method and the brightness and contrast of the image are improved.
Abstract: Aiming at the difficulty in determining the mapping range in gray-level transformation,a novel image enhancement method based on mapping threshold is proposed. The lowest point between target area and background area is searched automatically in the mapping transformation of histogram gray-level. Then it is operated as a threshold for mapping of image gray-level scale so as to adjust the gray coverage of the image. Finally,the brightness and contrast of the image are improved. Experiment analysis demonstrates that,the proposed method can adjust the image dynamic gray-level range so that obtain better enhancement effects than conventional gray histogram transformation. The new method has solved the problem of determining the image gray-level scale in the mapping transformation,is an effective image enhancement method.
1 citations
"Deep sea image enhancement algorith..." refers methods in this paper
...Also there are some other methods such as method based on slide Stretching[4], method based on wavelet[5] and method based on mapping threshold[6]....
[...]