Gaussian Pyramid Wavelet Transform for Multiresolution Analysis of Images

Olkkonen, H.; Pesola, P.

doi:10.1006/gmip.1996.0032

Cited by 57 publications

(22 citation statements)

References 4 publications

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“…Orthogonal CQF wavelets [8][9][10][11] have appeared to be inferior to the BDWT wavelets [5,6] especially in image processing applications due to non-symmetric scaling and wavelet filters, which produce image blurring or spatial dislocations in multi-resolution analysis. The present paper introduces a novel idea for design of simplified BDWT analysis and synthesis parts.…”

Section: Discussionmentioning

confidence: 99%

Simplified biorthogonal discrete wavelet transform for VLSI architecture design

Olkkonen

2007

SIViP

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Biorthogonal discrete wavelet transform (BDWT) has gained general acceptance as an image processing tool. For example, the JPEG2000 standard is completely based on the BDWT. In BDWT, the scaling (low-pass) and wavelet (high-pass) filters are symmetric and linear phase. In this work we show that by using a specific sign modulator the BDWT filter bank can be realized by only two biorthogonal filters. The analysis and synthesis parts use the same scaling and wavelet filters, which simplifies especially VLSI designs of the biorthogonal DWT/IDWT transceiver units. Utilizing the symmetry of the scaling and the wavelet filters we introduce a fast convolution algorithm for implementation of the filter modules. In multiplexer-demultiplexer VLSI applications both functions can be constructed via two running BDWT filters and the sign modulator.

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Section: Discussionmentioning

confidence: 99%

Simplified biorthogonal discrete wavelet transform for VLSI architecture design

Olkkonen

2007

SIViP

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“…Inverse pyramid transform will give resultant fused image. Gaussian pyramid [12], Laplacian pyramid [13], Gradient pyramid [14], Contrast pyramid [15], Ratio of low pass pyramid [16], Filter subtract decimate pyramid [17], Morphological pyramid [17] are used for image fusion. Pyramid transform based fusion methods suffer from blocking effect [18] in the regions where the input images are significantly different.…”

Section: Pyramid Based Fusion Methodsmentioning

confidence: 99%

Swarm Intelligence based Optimization in Thermal Image Fusion using Dual Tree Discrete Wavelet Transform

Madheswari¹,

Venkateswaran²

2015

Proceedings of the 2015 Asia International Conference on Quantitative InfraRed Thermography

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In this paper, we propose a Particle Swarm Optimized image fusion framework in Discrete Wavelet Transform domain that combines the thermal image with the visual image to obtain a single informative fused image. Dual tree Discrete Wavelet Transform (DT-DWT) is applied for feature selection and particle swarm optimization (PSO) technique is used to obtain the optimized image. In the fusion process, an optimized weighting factor has been used to form a new composite image with maximized Entropy and minimized Root Mean Square Error (RMSE). Simulation results indicate that the proposed fusion framework results in better quality of the fused image.

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“…The basic principle is to do convolution operation in both low and high frequency horizontally and vertically, respectively [3][4][5], as is shown in figure 2.Its process is as follows:…”

Section: Image Layeringmentioning

confidence: 99%

Tilt correction method of text image based on wavelet pyramid

Yu¹,

Zhu²

2017

AIP Conference Proceedings

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A new method for converting trimmed NURBS surface to T-splinesurface for isogeometric analysis AIP Conference Proceedings 1834, 040029 (2017) Text images captured by camera may be tilted and distorted, which is unfavorable for document character recognition.Therefore,a method of text image tilt correction based on wavelet pyramid is proposed in this paper. The first step is to convert the text image captured by cameras to binary images.After binarization, the images are layered by wavelet transform to achieve noise reduction, enhancement and compression of image.Afterwards,the image would bedetected for edge by Canny operator, and extracted for straight lines by Radon transform. In the final step, this method calculates the intersection of straight lines and gets the corrected text images according to the intersection points and perspective transformation. The experimental result shows this method can correct text images accurately.

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Gaussian Pyramid Wavelet Transform for Multiresolution Analysis of Images

Cited by 57 publications

References 4 publications

Simplified biorthogonal discrete wavelet transform for VLSI architecture design

Simplified biorthogonal discrete wavelet transform for VLSI architecture design

Swarm Intelligence based Optimization in Thermal Image Fusion using Dual Tree Discrete Wavelet Transform

Tilt correction method of text image based on wavelet pyramid

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