Discrete Cosine Transform based fusion of multi-focus images for visual sensor networks

Phamila, Y. Asnath Victy; Amutha, R.

doi:10.1016/j.sigpro.2013.09.001

Cited by 101 publications

(48 citation statements)

References 18 publications

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“…The Laplacian pyramid method [41], the wavelet transform-based method (Tian's method) [3], the principal component analysis-based method (Wan's method) [42], the discrete cosine transform-based method (Phamila's method) [43],and region level-based method (Liu's method) [44] were selected to compare with the proposed method. Tian et al [3] proposed a new statistical sharpness measure by exploiting the distribution of the wavelet coefficients, and the sharpness measure was used to fuse the image adaptively.…”

Section: Visual Effect and Quantitative Comparisonmentioning

confidence: 99%

Multi-focus image fusion algorithm based on focused region extraction

Zhang

Pei³

et al. 2016

Neurocomputing

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Section: Visual Effect and Quantitative Comparisonmentioning

confidence: 99%

Multi-focus image fusion algorithm based on focused region extraction

Zhang

Pei³

et al. 2016

Neurocomputing

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“…The planned strategy may not just hold the vitality of the picture, but also can save you the side data of image. Y Phamila , R.Amutha [15] presented a simple and efficient multi-focus image fusion scheme explicitly designed for wireless visual sensor systems equipped with resource constrained, battery powered image sensors employed in surveillance, hazardous environment like battlefields etc. Here the fusion of multi-focus images has been based on higher valued Alternating Current (AC) coefficients calculated in Discrete Cosine Transform (DCT) domain.…”

Section: Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

A Comparative Study of Various Digital Image Fusion Techniques: A Review

Kaur¹,

Kaur²

2015

IJCA

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The key objective of vision fusion would be to merging information from multiple images of exactly the same view in order to deliver only the useful information. The PCA based ways of vision fusion are more suitable and time-saving in realtime systems using PCA based standards of still images. This paper has centered on the many image fusion techniques. The review has shown that the still much research is needed to improve the image fusion technique further. The IBLPCA based technique has shown quite improved results over the available techniques. This paper ultimately ends up with the suitable future directions.

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“…The calculation proposed in [75] called Max prompts choosing a wrong JPEG coded pieces in light of the fact that the quantity of higher esteemed AC coefficients is an invalid rule when the greater part of the AC coefficients are quantized to zeros amid the quantization. In another approach [76], change is considered as a differentiation standard of combination. In any case, try brings about [77] demonstrate that change gives more awful execution than different concentration measures.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Medical Image Segmentation Methods with Different Modalitites

Sumithra¹,

Malathi²

2018

IJERT

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-This paper shows a review on the offered methods for segmentation of brain tumor magnetic resonance imaging (MRI) and computed tomography (CT) images. Segmentation of brain MRI and CT images are broadly used as a preprocessing, for research that inhabit study and mechanization, in the domain of medical image processing. MRI and CT images segmentation is difficult job because of the same characteristics between hard and soft group of muscle anatomy in the brain image. Also the many parts of identical space present in an image differentiate with the image partition and direction. The selection of an suitable type for segmentation that is build up on the image featue. This review has been done in the point of view of authorize the mixture of a segmentation type for MRI and CT images. This review is differentiated based on the methods processed in segmentation.

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Discrete Cosine Transform based fusion of multi-focus images for visual sensor networks

Cited by 101 publications

References 18 publications

Multi-focus image fusion algorithm based on focused region extraction

Multi-focus image fusion algorithm based on focused region extraction

A Comparative Study of Various Digital Image Fusion Techniques: A Review

A Survey on Medical Image Segmentation Methods with Different Modalitites

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