Underwater image enhancement by wavelet based fusion

Khan, Amjad; Ali, Syed Saad Azhar; Malik, Aamir Saeed; Anwer, Atif; Mériaudeau, Fabrice

doi:10.1109/usys.2016.7893927

Cited by 42 publications

(24 citation statements)

References 14 publications

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“…The sharpened image Is is expressed as This operator does not require any parameter tuning and results in effective sharpening of the image. This operator shifts and scales all the color pixel intensities of an image with a unique shifting and scaling factor defined so that the set of transformed pixel values cover the entire available dynamic range [6].…”

Section: Sharpening Of Undrwater Image (Input Image 2)mentioning

confidence: 99%

“…4. Since the difference between white balanced image and its Gaussian filtered image is a high pass signal that approximates the opposite of Laplacian, this operation is less suitable to enlarge the high frequency noise, thereby generating undesired artifacts in the second input [6].…”

Section: Sharpening Of Undrwater Image (Input Image 2)mentioning

confidence: 99%

“…Amjad Khan [5] proposed wavelet based fusion algorithm in which the hazy image has been enhanced in terms of color and contrast. G. Suresh, V. Natrajan and A. Shanavas [6] describes that an imaging transducer array combined with an acoustic lens can work as the front end of an underwater acoustic imaging system, which can identify objects even in turbid waters with high resolution. In the approach specified in [7], quality parameters such as entropy, peak signal-to noise ratio (PSNR) and average mean brightness error (AMBE) are measured to justify the efficiency of the work.…”

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confidence: 99%

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Enhancement of Underwater Images

Sharma¹,

Verma²

2020

IJERT

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Underwater photography becomes an important research area in Ocean Engineering, Computer Graphics and Surveillance. But underwater images appear blue-green and hazy since the longer wavelength of sunlight cannot penetrate deep in the water due to salinity and high concentration of dissolve impurities in the seawater. The paper proposes Multiscale Fusion technique in order to remove hazing effects and to enhance visibility of such images. An input underwater image is processed for deriving two images from Gamma Correction and sharpening filter. The associated weight maps are then computed and merged together using Gaussian and Laplacian pyramids. Patch-based Contrast Quality Index (PCQI) and Underwater Color Image Quality Evaluation (UCIQE) are used for determining the quality of recovered underwater images. The experimental results indicate that the final image has better visibility and contrast than the original image.

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Section: Sharpening Of Undrwater Image (Input Image 2)mentioning

confidence: 99%

Section: Sharpening Of Undrwater Image (Input Image 2)mentioning

confidence: 99%

mentioning

confidence: 99%

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Enhancement of Underwater Images

Sharma¹,

Verma²

2020

IJERT

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“…Because of some effects of the underwater medium, the pictures taken in water were misty. The balanced element directed these effects and led to the amalgamation and dispersion of brightness throughout the picture configuration procedure [9]. The underwater standard was not found gracious for information imaging and caused low distinction and faded shade concerns.…”

Section: Literature Reviewmentioning

confidence: 99%

Underwater Image Enhancement using HOG and SIFT Method

Gupta*¹,

Sharma²

2019

IJEAT

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Capturing underwater images can be considered as form of art and collecting data of underwater environment which plays major role in the field of marine biology research, marine zoology and ecology study. It also plays a significant role in scientific missions such as analyzing marine life species, taking census of population and monitoring underwater biological environment. Underwater imaging also offers many other attractions such as aquatic plants and animals, different types and species of fishes, shipwrecks, coral reef and beautiful landscapes. But the captured images lack contrast and are hazy due to absorption and scattering. Thus the quality of the image gets deteriorated. The degraded underwater images can be enhanced using different methods. This research work proposed the white balancing technique and image blending process to improve the degraded images. The image blending can be done using the methods of feature matching. The features can be matched using HOG and SIFT methods. The proposed technique is implemented in MATLAB and results are analyzed in the terms of PSNR and MSE.

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“…Spatial-domain based algorithms enhances the image at the gray level; typical algorithms include histogram equalization [30]. Transform-domain algorithms transform the spatial domain image into the frequency domain [31], such as wavelet [32]. In recent years, deep learning technology has been developed rapidly and applied to image enhancement, such as deep bilateral learning [33], deep photo enhancer [34], and scale-recurrent network [35].…”

Section: Introductionmentioning

confidence: 99%

Improved PSO Algorithm Based on Exponential Center Symmetric Inertia Weight Function and Its Application in Infrared Image Enhancement

Qin

2020

Symmetry

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In this paper, an improved PSO (Particle Swarm Optimization) algorithm is proposed and applied to the infrared image enhancement. The contrast of infrared image is enhanced while the image details are preserved. A new exponential center symmetry inertia weight function is constructed and the local optimal solution jumping mechanism is introduced to make the algorithm consider both global search and local search. A new image enhancement method is proposed based on the advantages of bi-histogram equalization algorithm and dual-domain image decomposition algorithm. The fitness function is constructed by using five kinds of image quality evaluation factors, and the parameters are optimized by the proposed PSO algorithm, so that the parameters are determined to enhance the image. Experiments showed that the proposed PSO algorithm has good performance, and the proposed image enhancement method can not only improve the contrast of the image, but also preserve the details of the image, which has a good visual effect.

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Underwater image enhancement by wavelet based fusion

Cited by 42 publications

References 14 publications

Enhancement of Underwater Images

Enhancement of Underwater Images

Underwater Image Enhancement using HOG and SIFT Method

Improved PSO Algorithm Based on Exponential Center Symmetric Inertia Weight Function and Its Application in Infrared Image Enhancement

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