On producing energy-efficient and contrast-enhanced images for OLED-based mobile devices

Asnani, Sorath; Canu, Maria Giulia; Farinetti, Laura; Montrucchio, Bartolomeo

doi:10.1016/j.pmcj.2021.101384

Cited by 16 publications

(10 citation statements)

References 24 publications

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“…However, the main target of the latter's algorithm (LAPSE) is time overhead. Recent work in [39] produces contrast-enhanced images applying a modified Land-Effect method that uses white balance and retinex filter. The resulting image has visually better color contrasts than the original and saves power by 13.16%.…”

Section: Discussionmentioning

confidence: 99%

A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images

Δρίτσας

Trigka

2022

Sensors

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Smart devices have become an integral part of people’s lives. The most common activities for users of such smart devices that are energy sources are voice calls, text messages (SMS) or email, browsing the World Wide Web, streaming audio/video, and using sensor devices such as cameras, GPS, Wifi, 4G/5G, and Bluetooth either for entertainment or for the convenience of everyday life. In addition, other power sources are the device screen, RAM, and CPU. The need for communication, entertainment, and computing makes the optimal management of the power consumption of these devices crucial and necessary. In this paper, we employ a computationally efficient linear mapping algorithm known as Concurrent Brightness & Contrast Scaling (CBCS), which transforms the initial intensity value of the pixels in the YCbCr color system. We introduce a methodology that gives the user the opportunity to select a picture and modify it using the suggested algorithm in order to make it more energy-friendly with or without the application of a histogram equalization (HE). The experimental results verify the efficacy of the presented methodology through various metrics from the field of digital image processing that contribute to the choice of the optimal values for the parameters a,b that meet the user’s preferences (low or high-contrast images) and green power. For both low-contrast and low-power images, the histogram equalization should be omitted, and the appropriate a should be much lower than one. To create high-contrast and low-power images, the application of HE is essential. Finally, quantitative and qualitative evaluations have shown that the proposed approach can achieve remarkable performance.

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Section: Discussionmentioning

confidence: 99%

A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images

Δρίτσας

Trigka

2022

Sensors

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“…The approximate estimation method based on software calculates the power consumption by constructing the power consumption model, which is simple and universal. At present, the power modeling method based on software approximate estimation has become the consensus of researchers at home and globally [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24].…”

Section: Related Workmentioning

confidence: 99%

“…Li et al [13] extracted the display content through the visual saliency algorithm, and then dynamically adjusted the pixels of each region based on visual attention to reducing energy. Asnani et al [14] generated energy-saving and contrast-enhanced images by using the image-related power quality of OLED displays, and achieved the goal of reducing image power consumption by reducing the RGB intensity level in color images. Dalton et al [15] used the webcam installed on the laptop monitor to regularly capture images, and then determined whether the user was watching the monitor according to the face detection algorithm to enhance the power management.…”

Section: Related Workmentioning

confidence: 99%

“…Since medical instruments and equipment are typically embedded equipment, the power modeling of their display images is helpful for medical image task scheduling, medical image analysis, prolonging the service life of the equipment, and improving the display effect. Considerable work has been done to study them [11][12][13][14][15][16][17][18][19][20][21][22][23][24]. Although the current power model can acquire the medical image's power, there is the issue of low accuracy [17,20,22,24].…”

Section: Introductionmentioning

confidence: 99%

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Accurate Power Modelling Framework for Medical Images in Embedded System

Li¹,

Li²,

Zhou³

et al. 2022

jist

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The display in embedded devices is a significant energy-consuming device, and the display content determines the degree of energy consumption. In the practice of energy saving and emission reduction, it is necessary to build an accurate medical image power prediction model for the display. Current power consumption prediction models for medical images often focus on the performance of a single prediction model, ignoring the ability of multiple single prediction models to improve performance. This paper proposes an accurate medical power framework (AMPF), which consists of three steps. In the first step, the strong predictor is used to compose multiple RGB single channels to obtain the power model. In the second step, the power between RGB channels is represented by errors, and the power generated by RGB channel dependence is obtained by the strong predictor method. The third step is to compose the power of the first step and the second step to get accurate medical image power prediction results. The experimental results show that the accuracy of the AMFP proposed in this paper reaches 0.9798, which is 6.836% higher than that of the single power model. The AMPF implemented by AdaBoost is superior to that implemented by EWM in performance and has about 1.3 times the time advantage in training.

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“…With the increasing need for light systems in daily life, OLED devices such mobile device, display in TV, bio sensor for DNA have attracted the attention of researchers and high technology companies due to their cheapness, efficiency and flexibility (Wu et al, 2021;Won et al, 2021;Das et al, 2021;Daniso et al, 2021;Ren et al, 2021;Nabha-Barnea et al, 2021;Wang et al, 2021;Chansin et al, 2021;Asnani et al, 2021;Shih et al, 2021). To produce successful OLED devices, five layers have been needed and these layers are as follows: the bottom part is the substrate part, then the hole transfer part, the emissive part, the electron transfer part, and on the top is the cathode part.…”

Section: Introductionmentioning

confidence: 99%

Electrical and Optical Properties of TPBi and CzSi Films Fabricated by Spin Coating: The Effects of Varying Thickness and Applied Rapid Thermal Annealing

Mantarcı

2021

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Electrical and optical properties depending on effects of varying thickness and applied rapid thermal annealing of TPBi and CzSi films fabricated by spin coating were determined in detail and the results of these effects were analyzed and discussed. While TPBi film with the highest electrical conductivity in the 3.54-3.56 eV is 0.714 mm thick film (4.13x10 12 Siemens at 3.55 eV energy), the film with the lowest electrical conductivity is 0.702 mm thick (1.72x10 12 Siemens at 3.55 eV energy). It was found that the refractive index values of TPBi film increased with increasing thickness in region between 356 nm-374 nm. It was observed that when the thickness of TPBi film was increased from 0.702 mm to 0.703 mm, optical band gap of the film did not change, when it was increased to 0.706 mm, the optical band gap energy increased from 3.48 eV to 3.52 eV. As for the rapid annealing effects; basic physical properties of CzSi film depending on various annealed temperatures have been investigated in detail, just like thickness effects. In summary, different thicknesses and rapid thermal effects on noteworthy physical properties of films such as optical electrical conductivity, absorption band edge energy, refractive index, optical band gap energy have been studied and discussed in detail.

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On producing energy-efficient and contrast-enhanced images for OLED-based mobile devices

Cited by 16 publications

References 24 publications

A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images

A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images

Accurate Power Modelling Framework for Medical Images in Embedded System

Electrical and Optical Properties of TPBi and CzSi Films Fabricated by Spin Coating: The Effects of Varying Thickness and Applied Rapid Thermal Annealing

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