Multi-focus image fusion based on depth extraction with inhomogeneous diffusion equation

Xiao, Jinsheng; Liu, Tingting; Zhang, Yongqin; Zou, Baiyu; Lei, Junfeng; Li, Qingquan

doi:10.1016/j.sigpro.2016.01.014

Cited by 35 publications

(12 citation statements)

References 23 publications

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“…Stationary Wavelet Transformation is an algorithm of wavelet transform [5] designed to solve the problem of translation-invariance of the discrete wavelet transform (DWT).…”

Section: A Stationary Wavelet Transform (Swt)mentioning

confidence: 99%

“…Now a days, researchers have been searched a lot of ways to enhance the quality of human visual level and its performance [5]. In this imaging field, image fusion is the best technique with the couple of input images [1] and combines them to generate best vision quality input image.…”

Section: Introductionmentioning

confidence: 99%

“…Decision level fusion treated as high level fusion to compress the image with the best quality perception [22]. Image fusion can be treated as generating [5] [9] as relevant information from meaningless data [22]. The useful information is enrolled all in focus information.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Focus Image Fusion using Non-Local Mean Filtering and Stationary Wavelet Transform

Joshi¹,

Joshi²,

Diwakar³

et al. 2019

IJITEE

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Today’s research era, image fusion is a actual step by step procedure to develop the visualization of any image. It integrates the essential features of more than a couple of images into a individual fused image without taking any artifacts. Multifocus image fusion has a vital key factor in fusion process where it aims to increase the depth of field using extracting focused part from different multiple focused images. In this paper multi-focus image fusion algorithm is proposed where non local mean technique is used in stationary wavelet transform (SWT) to get the sharp and smooth image. Non-local mean function analyses the pixels belonging to the blurring part and improves the image quality. The proposed work is compared with some existing methods. The results are analyzed visually as well as using performance metrics.

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“…Stationary Wavelet Transformation is an algorithm of wavelet transform [5] designed to solve the problem of translation-invariance of the discrete wavelet transform (DWT).…”

Section: A Stationary Wavelet Transform (Swt)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Focus Image Fusion using Non-Local Mean Filtering and Stationary Wavelet Transform

Joshi¹,

Joshi²,

Diwakar³

et al. 2019

IJITEE

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show abstract

“…σ XY is the covariance of the two images, and C 1 ,C 2 are constants. The Edge strength [22] is defined as follows:…”

Section: Objective Evaluationmentioning

confidence: 99%

Adaptive shock filter for image super-resolution and enhancement

Xiao

Pang

Zhang

et al. 2016

Journal of Visual Communication and Image Representation

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“…Sharper image blocks from multi-focus images of the same scene are selected based upon the sharpness measure such as EOG (Energy of Gradient) [3] and spatial frequency [4] and sometimes using focus detection algorithm [5][6][7][8][9]. The main difficulty of these methods is to select the block of optimum size, on which the quality of fused image depends.…”

Section: Introductionmentioning

confidence: 99%