Magnification of 3D reconstructed images in integral imaging using an intermediate-view reconstruction technique

Hwang, Dong‐Choon; Park, Jaesung; Kim, Seung-Cheol; Shin, Dong-Hak; Kim, Eun-Soo

doi:10.1364/ao.45.004631

Cited by 49 publications

(12 citation statements)

References 19 publications

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“…Power modeling of OLED displays was carried on the basis of the total dissipated power (TDP) [6] for a gray-scale image, defined as (8) where denotes the total number of pixels in the image; , the gray-scale value of a pixel; , the index of a pixel; and , the parameter for gamma correction, which is typically 2.2 [10]. Target PSNRs of 30 dB and 40 dB were used for the proposed and conventional algorithms, respectively, because images with PSNRs greater than 30 dB are generally acceptable [11], [12]. Table I shows that both the proposed IQPC and the conventional preserved the average PSNRs over 30 dB for all the test images and sequences in the first experiment.…”

Section: Simulation Resultsmentioning

confidence: 99%

Image-Quality-Based Power Control Technique for Organic Light Emitting Diode Displays

Kang

2015

J. Display Technol.

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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 and power consumption by employing an objective function that integrates a roll-off curve to eliminate the clipping error, which severely degrades the perceptual image quality. In addition, a sampling technique is adopted to reduce the computational complexity. The simulation results show that the proposed algorithm reduces the average power consumption by up to 0.310 (11.75% decrease) while preserving the image quality above the target level. When applying the sampling technique to the proposed method, the average computation time per pixel is reduced by up to 1.025 s (37.63% decrease) whereas the image quality and power consumption remain virtually unchanged.Index Terms-Clipping error control, organic light-emitting diode, power control.

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Section: Simulation Resultsmentioning

confidence: 99%

Image-Quality-Based Power Control Technique for Organic Light Emitting Diode Displays

Kang

2015

J. Display Technol.

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“…Finally, the hardware resource for the processor-based implementation of the proposed algorithm was calculated. The target PSNR of both the conventional and proposed algorithms was set to 30 dB because images with PSNRs higher than 30 dB are generally acceptable [5], [6]. For the power model, the TFT-LCD LP064V1, which is a 6.4 inch LCD panel using the cold-cathode fluorescent lamp (CCFL) backlight, was used [7], [8].…”

Section: Simulation and Implementation Resultsmentioning

confidence: 99%

“…otherwise (5) where denotes the total number of histogram bins, and denotes the threshold needed to detect a scene change, which is set experimentally to . After the scene change detection, adaptive binary search is performed.…”

Section: A Image Analysismentioning

confidence: 99%

Processor-Based Backlight Dimming Using Computation Reduction Technique

Kang

2013

J. Display Technol.

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This paper proposes a new processor-based backlight dimming algorithm and hardware architecture. The processor-based design of the backlight dimming system requires low computation for real-time processing. The proposed algorithm calculates an average gray level of RGB signals and combines the histogram gray-level bins to reduce computation. Additionally, it uses scene change detection and adaptive binary search to decrease iterations of the clipped error control algorithm. In the simulation results, the proposed algorithm reduced computation time by up to 94.2%, compared to a conventional algorithm. Further, the proposed processor-based backlight dimming system drove a 32-inch LCD panel successfully.Index Terms-Backlight dimming, liquid crystal display (LCD), processor-based design.

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“…However, we lose many elemental images in the ROS-based pickup system. In this case, the missing elemental images can be recovered by using a computational method such as intermediate view reconstruction technique [19].…”

Section: Discussionmentioning

confidence: 99%

Simple correction method of distorted elemental images using surface markers on lenslet array for computational integral imaging reconstruction

Lee¹,

Shin²,

Lee³

2009

Opt. Express

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In this paper, we propose a simple correction method of distorted elemental images for computational integral imaging reconstruction (CIIR) method by using surface markers on lenslet array. The position information of surface markers is extracted from distorted elemental images with geometric misalignments such as skew, rotation and so on. Then the elemental images can be corrected simply when applying linear transformation calculated from the extracted positions. Therefore, the proposed method can simply correct geometric misalignments such as skew and rotation. The corrected elemental images can provide the precise reconstruction of 3D plane images in CIIR. To show the usefulness of the proposed method, the preliminary experiments are carried out and the experimental results are presented. To the best of our knowledge, this is the first report to deal with compensating for the distorted elemental images recorded by using computational integral imaging.

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Magnification of 3D reconstructed images in integral imaging using an intermediate-view reconstruction technique

Cited by 49 publications

References 19 publications

Image-Quality-Based Power Control Technique for Organic Light Emitting Diode Displays

Image-Quality-Based Power Control Technique for Organic Light Emitting Diode Displays

Processor-Based Backlight Dimming Using Computation Reduction Technique

Simple correction method of distorted elemental images using surface markers on lenslet array for computational integral imaging reconstruction

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