Backlight power reduction using efficient image compensation for mobile devices

Kim, Tae Hyun; Choi, Kang-Sun; Ko, Sung-Jea

doi:10.1109/tce.2010.5606354

Cited by 10 publications

(9 citation statements)

References 12 publications

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“…Under the backlight level bl , the compensated pixels with value 255 will be dimmed to (255 ) 255 k b l k − × + according to equation (5), which is the most nearest value to the perception of the relevant original image pixel values under the full backlight level. This also implies that the maximum PSNR can be achieved for compensated pixels with equation (4) after reducing the backlight.…”

Section: B Ideal Compensation Functionmentioning

confidence: 99%

“…For example, to reduce backlight power consumption, Lai presented an adaptive dimming technique by using the characteristic of image data for global backlight applications [1], Kang presented a method for dynamic backlight dimming that uses multiple histograms based on the consideration of pixel distribution [2], Zhang proposed an algorithm for local dimming backlight based on the details of input images [3], and Lai adopted the SSIM index to evaluate image quality from the point of human visual system (HVS) and proposed a backlight dimming algorithm and an image enhancement algorithm based on content analysis [4]. Moreover, to reduce the computational burden, Kim developed a backlight power reduction scheme using an efficient image compensation algorithm in the compressed domain [5]. On the contrary, the power-centric methods focus on improving visual perception under a certain backlight power.…”

Section: Introductionmentioning

confidence: 99%

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Image Dimming Perceptual Model Based Pixel Compensation and Backlight Adjustment

Chen

et al. 2015

J. Display Technol.

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In this paper, an image dimming perceptual model is proposed as the foundation of image compensation and quality evaluation. Specifically, under this model an ideal compensation function is derived out and objective quality metrics SSIM and PSNR are adopted to evaluate the compensation performance. A practical compensation function is obtained by modifying the ideal compensation function under the consideration both of visual perception and objective quality. By using the SSIM and PSNR metrics, the relationship between image mean values, backlight levels, and image quality is further investigated. Base on this a novel scheme of backlight level adaptive adjustment is presented. Numerous experimental results verify the effectiveness of the model and demonstrate the advantages of the compensation and backlight level adaptive adjustment techniques. A. Compensation for UVThe visual comparison between with and without UV compensation under backlight level 128 is illustrated in Fig. 8. The SSIM contribution of compensation for UV components is listed in Table I. The compensation for UV is time and power consuming, but the quality difference between with and without the compensation for UV is invisible. So the compensation only for Y component is an acceptable choice.

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Section: B Ideal Compensation Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Image Dimming Perceptual Model Based Pixel Compensation and Backlight Adjustment

Chen

et al. 2015

J. Display Technol.

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“…In the past studies, it is shown that about a half of power consumption of smart mobile devices is caused by their display panels [8]. Thus, the power-awareness of display is emphasised in mobile device technologies.…”

Section: Introductionmentioning

confidence: 99%

Power‐constrained contrast enhancement for organic light‐emitting diode display using locality‐preserving histogram equalisation

Shin

Park

2016

IET Image Processing

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Display capabilities of the smart mobile devices are highly developed for the last decade. Thus, it is necessary to consider both quality of the images and the power consumed by the display. In this study, a power-constrained contrast enhancement method formulated as an optimisation problem (quadratically constrained quadratic programming) is proposed. The proposed locality condition is used to enhance the conventional histogram equalisation, where power constraint is used to specify the power-consumption ratio of the enhanced image. The experimental results show that the proposed method effectively enhances the quality of single images with designated power reduction achieved. The proposed algorithm is also applied to video sequences with a simple and effective update algorithm in real-time. The update algorithm gives successful results without flickering artefacts observed in existing methods.

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“…반면에 소프트웨어 개선을 통한 방법은 어플리케이 션 또는 디바이스 드라이버 레벨에서 제어가 가능하며 입 력 영상에 따라서 적응적으로 조절이 가능하다는 점에서 보다 유연하다. 따라서 최근에는 소프트웨어 개선을 통해 소비전력을 줄이려는 연구가 활발히 진행되고 있다 [1][2][3][4][5][6][7][8][9][10] . [2] .…”

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“…이 기법은 단순하면서도 비교적 효과적인 결과 영상을 얻을 수 있으나, 변환함수가 부분적으로 선형이기 때문에 절삭이 이루어지는 화소 값을 영상마다 검출해야하는 단점 이 있다. 부분적으로 선형인 함수는 일반적으로 폐쇄형 해 를 구할 수 없으므로, 이러한 부분적 선형 변환함수를 S자 형태의 곡선으로 근사하는 기법이 최근 제안되었다 [3][4] . 또 한 히스토그램을 분석하여 밝기 분포가 없는 영역을 검출 한 뒤 검출된 영역에 대해 선택적으로 히스토그램 등화기 법을 적용하여 동적영역을 확대함으로써 왜곡을 최소화하 는 밝기 보상 알고리즘이 제안되었다 [5] .…”

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Low Power Contrast Enhancement for OLED Displays

Kim¹,

Lee²,

Lee³

2012

Journal of Broadcast Engineering

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A low power contrast enhancement algorithm for OLED displays is proposed in this work. The proposed algorithm increases the contrast of the image based on a linear transformation function, while reducing the power consumption of OLED displays. Furthermore, the proposed algorithm extends the global contrast enhancement to local contrast enhancement using the block-based transformation function. Simulation results demonstrate that the proposed algorithm reduces the power consumption, while enhancing the contrast of an input image.

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Backlight power reduction using efficient image compensation for mobile devices

Cited by 10 publications

References 12 publications

Image Dimming Perceptual Model Based Pixel Compensation and Backlight Adjustment

Image Dimming Perceptual Model Based Pixel Compensation and Backlight Adjustment

Power‐constrained contrast enhancement for organic light‐emitting diode display using locality‐preserving histogram equalisation

Low Power Contrast Enhancement for OLED Displays

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