3D image denoising using stereo correspondences

Li, Ngai; Li, Jim S. Jimmy; Randhawa, Sharmil

doi:10.1109/tencon.2015.7372926

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Their experimental results have shown that this method was able to improve the SNR by around 2.5dB for various types of noise in 3D images using a more accurate signal-dependent noise model. Moreover, it has been demonstrated that this method outperforms the other denoising algorithms by around 1dB [5]. Histogram based Watermarking using Entropy and DWT with PSO in Digital Images are proposed in [6], Facial Skin Segmentation using BFO and PSO [7], Hyper Spectral Image Restoration Approach using LRMR and LDA [8], Face Recognition with Decision Tree using SVM and SURF [9] and Finger Vein Biometric Authentication Scheme using Repeated Line Tracking and DWPT based Scheme [10].…”

Section: Introductionmentioning

confidence: 90%

An Efficient Image Restoration and Denoising approach using Unsymmetric based Trimmed Mean Bilateral Filter (UBTMF)

Arora¹,

Jangera²

2017

IJARCSSE

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One of the most fundamental processes in image processing is image denoising. The aim of image denoising is remove noise from an image without destroying object boundaries. There are mainly two noise models: additive Gaussian noise and impulsive noise which can represent the most of noises captured. As mobile phone camera is widely applied in actual life because of its convenience, people's requirement of it is becoming higher and higher. Image denoising algorithm has always been a hotspot in the field of image processing. To improve the quality of mobile image, the edge of the image shouldn't be blurred while denoising. In this paper a new algorithm for the removal of impulse noise from the gray scale images. This new algorithm is named as Unsymmetric Based Trimmed Mean Bilateral Filter (UBTMF). The purposed filter is capable of removing very high density impulse noise from images and it also preserves the important details of image during denoising.

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Section: Introductionmentioning

confidence: 90%

An Efficient Image Restoration and Denoising approach using Unsymmetric based Trimmed Mean Bilateral Filter (UBTMF)

Arora¹,

Jangera²

2017

IJARCSSE

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“…K.Priya discussed a novel colour image denoising approach by utilizing incipient decision predicated morpho filter for salt and pepper noise corrupted digital colour images [33]. Ngai Li proposed an image denoising algorithm for 3D DE mosaicked images [34]. Oleksii S. Rubel, Ruslan O. Kozhemiakin proposed a method to prognosticate denoising efficiency of filters predicated on discrete cosine transform (DCT) for multichannel images was proposed [35].…”

Section: Related Literature Surveymentioning

confidence: 99%

A Novel Algorithm based on UBTMF for Colour Pictures

Rehani¹,

Saini²

2018

IJARCSSE

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The issue of picture denoising is one of the most established in the field, is as yet getting extensive focus from the exploration zone due to consistently expanding interest for sensibly valued great media and in additament its part as a pre-preparing venture for picture division, pressure, and so on, because of high spatial being without a vocation of mundane pictures, nearby averaging of the pixels impressively abate the commotion while bulwark the first structure of the picture. To enhance the execution of the essential channels, more compelling sifting calculations including the exchanging vector channels and the amalgamation vector. In spite of the fact that there are different sifting calculations to cull, the more preponderant part of them is not outfit predicated. Multifarious Median Filter (AMF) performs well at low commotion densities. Be that as it may, at high filter densities the window measure must be expanded which may prompt obscuring the picture. In exchanging middle channel the cull depends on Re-characterized limit esteem. The paramount downside of this technique is that characterizing a vigorous cull is onerous. Supplementally these channels won't consider the nearby highlights because of which points of interest and edges may not be recouped severely, concretely when the filter level is high. To vanquish the above downside, Decision Predicated Algorithm (DBA) is proposed. In this, the picture is denoised by utilizing a 3x3 window. On the off chance that the preparing pixel esteem is 0 or 255 it is handled or else it is left unaltered. At high commotion thickness the middle esteem will be 0 or 255 which is boisterous. The goal of disuniting is to expel the driving forces so the commotion free picture is planarity recouped with least flag bending. Filter (Clamor) expulsion can be accomplished by utilizing sundry subsisting direct dissevering procedures which are main stream as a result of their numerical straightforwardness and the presence of the assembling direct framework hypothesis. In spite of the fact that middle channels expel motivation clamor without harming the edges, the prodigious majority of them work consistently over the picture and in this way have a propensity to alter both commotion and clamor free pixels. Preferably, the disuniting ought to be connected just to debased pixels while leaving uncorrupted pixels in place. We propose a novel calculation for clamor diminishment in light of UBTMF for Colour pictures.

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Into the Twilight Zone: Depth Estimation Using Joint Structure-Stereo Optimization

Sharma

Cheong

2018

Computer Vision – ECCV 2018

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3D image denoising using stereo correspondences

Cited by 3 publications

References 20 publications

An Efficient Image Restoration and Denoising approach using Unsymmetric based Trimmed Mean Bilateral Filter (UBTMF)

An Efficient Image Restoration and Denoising approach using Unsymmetric based Trimmed Mean Bilateral Filter (UBTMF)

A Novel Algorithm based on UBTMF for Colour Pictures

Into the Twilight Zone: Depth Estimation Using Joint Structure-Stereo Optimization

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