Exposure Fusion

Matsui, Susumu; Aoki, Kota; Nagahashi, Hiroshi; Morooka, Ken’ichi

doi:10.1109/pg.2007.17

Cited by 487 publications

(505 citation statements)

References 24 publications

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“…Shift variance, aliasing and lacking in directionality etc. affects discrete wavelet transform [4,5]. The dual-tree complex wavelet transform is used well to avoid those problems [6].…”

Section: (A) Multi-scale Decomposition Based Methodsmentioning

confidence: 99%

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Fusion Imaging in Pixel Level Image Processing Technique – A Literature Review

Elaiyaraja¹,

Kumar²

2018

IJET

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Image Processing is an art to get an enriched image or it can be used to retrieve information. This image processing methods are used in medical field also. Numerous modalities like Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and Computed Tomography (CT) etc. are used to analyze and diagnose diseases.Pixel-level image fusion is a combination of several images collected from various inputs and gives more information than any other input messages. Pixel-level image fusion shows a vital role in medical imaging. In this paper, pixel-level image fusionsmethods are survived and review the fusion quality measures are being used. Finally this surveycomplete with different kinds of image fusion methods proposed and still there are so many imminent ways in image fusion applications. Hence image fusions fields are pointedly develop in the forthcoming years.

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“…Shift variance, aliasing and lacking in directionality etc. affects discrete wavelet transform [4,5]. The dual-tree complex wavelet transform is used well to avoid those problems [6].…”

Section: (A) Multi-scale Decomposition Based Methodsmentioning

confidence: 99%

“… Multi-scale decomposition based methods [3]  the spars-representation based methods [1,2]  Transform domains (Eg. principal component space or the intensity-hue-saturation color space)  Hybrid transforms.…”

Section: Pixel-level Image Fusion Techniquesmentioning

confidence: 99%

Fusion Imaging in Pixel Level Image Processing Technique – A Literature Review

Elaiyaraja¹,

Kumar²

2018

IJET

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“…Exposure fusion [14,15,19] is a technique for fusing a bracketed exposure sequence into a high-quality, tone-map like image, without converting to HDR first. Its advantages over tone mapping include the fact that no HDR image needs to be computed often making the process faster and simpler.…”

Section: Exposure Fusionmentioning

confidence: 99%

“…The concept is based on exposure fusion [14,15] and its purpose is to create an improved set of features which represent a higher dynamic range then a set of features extracted from a single image. A key component is that areas which contain information unseen in one exposure can utilise the features from a differently exposed image.…”

Section: Introductionmentioning

confidence: 99%

FAW for Multi-exposure Fusion Features

May

Turner

Morris

2011

Advances in Image and Video Technology

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Abstract. This paper introduces a process where fusion features assist matching scale invariant feature transform (SIFT) image features from high contrast scenes. FAW defines the order for extracting features: features, alignment then weighting. The process uses three quality measures to select features from a series of differently exposed images and select a subset of the features in favour of those areas that are defined as well exposed from the different images. The results show an advantage in using these features over features extracted from the common alternative techniques of exposure fusion and tone mapping which extract the features as AWF; alignment, weighting then features. This paper also shows that the process allows for a more robust response when using misaligned or stereoscopic image sets.

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“…The algorithm included obtaining camera response curve, creation of HDR radiance map and storage in RGBE format [2]. Alternatively, scenes can be represented using exposure fusion [3]. Exposure fusion is a pipelined process on LDR images and it is not necessary to create a large HDR image, which significantly reduces memory requirement.…”

Section: Introductionmentioning

confidence: 99%

Performance Optimization and FPGA Implementation of Real-Time Tone Mapping

Popović

Pignat

Leblebici

2014

IEEE Trans. Circuits Syst. II

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Abstract-This brief analyzes the performance of the hardware-based tone mapping operators for compression of high dynamic range images. The bottlenecks of a tone mapping system are determined and a high-performance field programmable gate array (FPGA) implementation of an operator is introduced. The operator utilizes polynomial mapping technique, adaptive to the pixel values; hence preserving high contrast areas. The technique is further optimized for the presented resource-efficient FPGA implementation. We show that the timing optimization does not reduce the image quality, by obtaining high peak signal-to-noiseratio of the resulting images. The timing comparison to the similar implementations shows 2.5 times increase in the achieved throughput, irrespective of the hardware platform.

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Exposure Fusion

Cited by 487 publications

References 24 publications

Fusion Imaging in Pixel Level Image Processing Technique – A Literature Review

Fusion Imaging in Pixel Level Image Processing Technique – A Literature Review

FAW for Multi-exposure Fusion Features

Performance Optimization and FPGA Implementation of Real-Time Tone Mapping

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