Efficient image enhancement using improved RIQMC based ROHIM model

Ghous, Mujtaba; Khan, Arshad

doi:10.1007/s11042-022-12721-6

Cited by 1 publication

(2 citation statements)

References 32 publications

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“…The f ðu,vÞ is compared with the threshold s 2 . A function G is created, when the f ðu,vÞ > s 2 as shown in equation (9).…”

Section: B Statistical Model-based Noise Removalmentioning

confidence: 99%

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Multi-Objective Reptile Search Algorithm Based Effective Image Deblurring and Restoration

Yogananda¹,

J²

2023

JAIT

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Images are frequently affected because of blurring, data loss occurred by sampling and noise occurrence. The images are getting blurred because of object movement in the scenario, atmospheric misrepresentations and optical aberrations. The main objective of image restoration is to evaluate the original image from the corrupted data. To overcome this issue, the Multi-Objective Reptile Search Algorithm is proposed for performing an effective Image Deblurring and Restoration (MORSA-IDR). The proposed MORSA is used in two different processes such as threshold and kernel parameter calculation. In that, threshold values are used for detecting and replacing the noisy pixel removal using Deep Residual Network (DRN), and estimation of kernel is performed for deblurring the images. The main objective of the proposed MORSA-IDR is to enhance the process of deblurring for recovering low-level contextual information. The MORSA-IDR is evaluated using Peak SignalNoise Ratio (PSNR) and structural similarity index (SSIM). The existing research such as Enhanced Local Maximum Intensity (ELMI) prior and Deep Unrolling for Blind Deblurring (DUBLID) are used to evaluate the MORSA-IDR.The PSNR of MORSA-IDR for image 6 is 30.98 dB which is high when compared to the ELMI and DUBLID.

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“…The f ðu,vÞ is compared with the threshold s 2 . A function G is created, when the f ðu,vÞ > s 2 as shown in equation (9).…”

Section: B Statistical Model-based Noise Removalmentioning

confidence: 99%

“…On the other hand, the camera movement or lens defocusing also caused blurred images [7,8]. The profile of blur is mainly based on the intensity dissemination that is related to the spreading of point images in the blur area [9].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Reptile Search Algorithm Based Effective Image Deblurring and Restoration

Yogananda¹,

J²

2023

JAIT

View full text Add to dashboard Cite

show abstract

Efficient image enhancement using improved RIQMC based ROHIM model

Cited by 1 publication

References 32 publications

Multi-Objective Reptile Search Algorithm Based Effective Image Deblurring and Restoration

Multi-Objective Reptile Search Algorithm Based Effective Image Deblurring and Restoration

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