A Composite Wavelets and Morphology Approach for ECG Noise Filtering

Bhateja, Vikrant; Urooj, Shabana; Mehrotra, Rini; Verma, Rishendra; Lay-Ekuakille, A.; Verma, Vijay Deepak

doi:10.1007/978-3-642-45062-4_49

Cited by 40 publications

(9 citation statements)

References 25 publications

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“…Therefore, guided image filter is employed at the preprocessing stage to suppress the noise while preserving the edges. Analysis of the filtered images could be carried out using sub-band decomposition approaches employing empirical mode decomposition, wavelets or ridgelets [24]- [30]. Images processed using the guided filtering algorithm in the present work is then subjected to sub-band decomposition using 2D-DWT (Level 1, using Discrete Meyer wavelet family).…”

Section: B Synthesis Approach For Flash and No-flash Image Pairsmentioning

confidence: 99%

Synthesis of flash and no-flash image pairs using guided image filtering

Sharma¹,

Bhateja²,

Sinha³

2015

2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)

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This paper dispenses a consensus approach in digital photography to yield a better visual quality image by merging image pairs. Guided image filter is employed in this work at the acquisition level to transfers the structures and fine details of the guidance image to the filtering output along with restoration of details and fine structures in the image. The proposed synthesis approach carry out sub-band decomposition of denoised (flash and no-flash) images processed via guided filtering using 2D-DWT. The wavelet coefficients are then synthesized by using max-max decision rule. Simulations are carried out on flash/noflash image pairs contaminated with different levels of additive Gaussian noise and are evaluated on the basis of a no-reference image quality parameter. Significant improvement in quality of the synthesized image has been perceived in comparison to original ones. Index Terms-Flash image, No-flash image, Guided image filter, Discrete Wavelet Transform (DWT).

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Section: B Synthesis Approach For Flash and No-flash Image Pairsmentioning

confidence: 99%

Synthesis of flash and no-flash image pairs using guided image filtering

Sharma¹,

Bhateja²,

Sinha³

2015

2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)

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“…The reference and distorted images are decomposed into sub-bands using a 2D-DWT [43]- [46]. After decomposition, the details of the images are distributed into four sub-bands.…”

Section: Proposed Distortion Measurementioning

confidence: 99%

A Reduced Reference Distortion Measure for Performance Improvement of Smart Cameras

et al. 2015

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Application specific information processing (ASIP) unit in smart cameras requires sophisticated image processing algorithms for image quality improvement and extraction of relevant features for image understanding and machine vision. The improvement in performance as well as robustness can be achieved by intelligent moderation of the parameters both at algorithm (image resolution, contrast, compression, and so on) as well as hardware levels (camera orientation, field of view, and so on). This paper discusses the employment of ISO/IEC/IEEE 21451 smart transducer standards for performance improvement of smart cameras. The standardized transducer electronic data sheets (TEDS-by IEEE 21450) provide the self description of sensors, of which the calibration details are of vital importance to yield a smart and reconfigurable imaging system. This is possible by exercising intelligent control over the TEDS (smart camera) calibration details as well as automated tuning of algorithm parameters (in ASIP) based on decisions by perceptually efficient image quality assessment (IQA) tool. Estimation of distortion based on reduced reference IQA has been highlighted as a reliable methodology for this purpose. The proposed IQA approach uses wavelets for features extraction followed by estimation of luminance, contrast, and divergence parameters to obtain the proposed distortion measure (Q). The computational complexity in the process has been catalyzed using integral image and gradient magnitude approaches. The validation of Q metric is carried out by evaluating the image quality for various types of distortions on images from Content-based Strategies of Image Quality assessment (CSIQ) and Information Visualization CyberInfrastructure (IVC) databases. Simulation results yield a healthy correlation of Q and the subjective human opinions.

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“…For developing ITF technique Daubechies Wavelet Transform and Radon Transform are employed together by investigating their usefulness in the present application. Wavelets are successfully used so far in many image processing applications (Dey et al, 2011(Dey et al, , 2012a(Dey et al, , 2012b(Dey et al, , 2013Bhateja et al, 2013;Mandal and Sengupta, 2010) for frequency domain analysis by dividing the original images into different sub-bands. Daubechies wavelets belong to the family of discrete wavelet techniques which is based on the idea of Ingrid Daubechies.…”

Section: Image Transform Fusionmentioning

confidence: 99%

A new dataset of word-level offline handwritten numeral images from four official Indic scripts and its benchmarking using image transform fusion

Obaidullah

Halder

Das

2016

IJIEI

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Handwritten document image dataset development is one of the most tedious and time consuming tasks in optical character recogniser (OCR) related experimental work. Special attention need to be given in terms of feasibility, realness, clarity etc. while collecting real life data from different writers. Few efforts can be found in the literature for development of handwritten NIdb (numeral image dataset) but they were restricted on single script which is a local script of the fellow researcher who prepared the database. In this paper, an approach to develop word-level handwritten NIdb of four popular Indic scripts namely Bangla, Devanagari, Roman and Urdu has been proposed. Benchmark result is developed with respect to handwritten numeral script identification (HNSI) problem by applying a novel image transform fusion (ITF) based technique. The proposed dataset will be freely available to the researchers for non-commercial use. S.M. Obaidullah et al.

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A Composite Wavelets and Morphology Approach for ECG Noise Filtering

Cited by 40 publications

References 25 publications

Synthesis of flash and no-flash image pairs using guided image filtering

Synthesis of flash and no-flash image pairs using guided image filtering

A Reduced Reference Distortion Measure for Performance Improvement of Smart Cameras

A new dataset of word-level offline handwritten numeral images from four official Indic scripts and its benchmarking using image transform fusion

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