Unsupervised Deep Contrast Enhancement With Power Constraint for OLED Displays

  title={Unsupervised Deep Contrast Enhancement With Power Constraint for OLED Displays},
  author={Yong-Goo Shin and Seung Park and Yoon-Jae Yeo and Min-Jae Yoo and Sung-Jea Ko},
  journal={IEEE Transactions on Image Processing},
Various power-constrained contrast enhancement (PCCE) techniques have been applied to an organic light emitting diode (OLED) display for reducing the power demands of the display while preserving the image quality. In this paper, we propose a new deep learning-based PCCE scheme that constrains the power consumption of the OLED displays while enhancing the contrast of the displayed image. In the proposed method, the power consumption is constrained by simply reducing the brightness a certain… Expand
Contrast and Synthetic Multiexposure Fusion for Image Enhancement
  • M. Albahar
  • Medicine
  • Computational intelligence and neuroscience
  • 2021
A novel technique of generating synthetic multi-exposure images by applying gamma correction to an input image using different values according to its luminosity for generating multiple intermediate images, which are then transformed into a final synthetic image by applying contrast enhancement. Expand
Detail Restoration and Tone Mapping Networks for X-Ray Security Inspection
A deep learning-based TM method for X-ray inspection that aims to compress the dynamic range while preserving the restored details and preventing halo artifacts and a dataset synthesis technique using the Beer-Lambert law for supervised learning of DR-Net. Expand
A Comprehensive Overview of Image Enhancement Techniques
  • Yunliang Qi, Zhen Yang, +5 authors Yide Ma
  • Computer Science
  • 2021
The development of image enhancement algorithms is surveyed with three aspects: supervised algorithm, unsupervised algorithm and quality evaluation, respectively and the future development trend of existing enhanced algorithms is analyzed. Expand
Study on the Effect of Gaze Position and Image Brightness on Peripheral Dimming Technique
  • Jeong-Sik Kim, Won-Been Jeong, Byeong Hun An, Seung-Woo Lee
  • Computer Science
  • Electronics
  • 2021
Here, we study a low-power technique for displays based on gaze tracking, called peripheral dimming. In this work, the threshold levels of the lightness reduction ratio (LRR), where people noticeExpand


Noniterative Power-Constrained Contrast Enhancement Algorithm for OLED Display
A new power-constrained contrast enhancement algorithm for organic light-emitting diode displays that provides high perceptual image quality with low power consumption is proposed that can achieve the target power consumption (TPC) without iteration, while significantly alleviating overenhancement artifacts using global and local attributes. Expand
Power-Constrained Contrast Enhancement Algorithm Using Multiscale Retinex for OLED Display
Experimental results show that the proposed algorithm provides better visual quality and a consistent power-saving ratio without flickering artifacts, even for video sequences, and several optimization skills for real-time processing. Expand
Perceptually Hue-Oriented Power-Saving Scheme with Overexposure Corrector for AMOLED Displays
This paper presents a power-saving scheme for AMOLED display based on the pixel dimming transformation, which suppresses luminance and reconstructs colors of any overexposed region using coefficients derived from the SSIM metric. Expand
Advanced Multimedia Power-Saving Method Using a Dynamic Pixel Dimmer on AMOLED Displays
A hue-preserving pixel-dimming technique using subtractive coefficients based on the decomposed hue–saturation–value color map that reduces the power consumption on AMOLED displays is proposed. Expand
Histogram shrinking for power-saving contrast enhancement
Experimental results show that the proposed method for emissive display by shrinking histogram is capable of reducing display power, while the performance of contrast enhancement is also improved. Expand
LAPSE: Low-Overhead Adaptive Power Saving and Contrast Enhancement for OLEDs
Low-overhead adaptive power saving and contrast enhancement (LAPSE), a new methodology to concurrently reduce the energy consumed by an OLED display and enhance the contrast of the displayed image that relies on image-specific pixel-by-pixel transformations, is proposed. Expand
Image-Quality-Based Power Control Technique for Organic Light Emitting Diode Displays
  • Suk-Ju Kang
  • Mathematics
  • Journal of Display Technology
  • 2015
This paper presents a new image-quality-based power control algorithm for an organic light-emitting diode display. The proposed algorithm calculates the optimal tradeoff between image quality andExpand
Power-Constrained Contrast Enhancement for Emissive Displays Based on Histogram Equalization
A power-constrained contrast-enhancement algorithm for emissive displays based on histogram equalization (HE) that can reduce power consumption significantly while improving image contrast and perceptual quality is proposed. Expand
Learning to See in the Dark
A pipeline for processing low-light images is developed, based on end-to-end training of a fully-convolutional network that operates directly on raw sensor data and replaces much of the traditional image processing pipeline, which tends to perform poorly on such data. Expand
SSIM-Based Quality-on-Demand Energy-Saving Schemes for OLED Displays
These methods could be applied to real-time energy-saving transformation of any displaying media, including video playback on OLEDs, and it will save up to 20% of the displaying power consumption based on the predicted SSIM = 0.9, which has very good image quality after the transformation. Expand