Novel frame interpolation method for hold-type displays

Mishima, Nao; Itoh, Goroh

doi:10.1109/icip.2004.1421342

Cited by 17 publications

(4 citation statements)

References 2 publications

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“…The above equation states that if the layer label at a transformed location or is different than the layer label at the source location , then the intensity at the transformed location should not be taken into account, since the layer is occluded at that point. For all the remaining cases that are not covered by (8), only the intensity that is closer to the average intensity , in the neighborhood of the interpolation frame location , is used as follows:…”

Section: Generating the Interpolation Framementioning

confidence: 99%

Region-based motion-compensated frame rate up-conversion by homography parameter interpolation

Türetken

Alatan²

2009

2009 16th IEEE International Conference on Image Processing (ICIP)

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A new region-based frame interpolation algorithm is proposed based on the segmented motion layers with planar perspective motion models. It is shown that performing the motion model interpolation in the homography parameter space is equivalent to interpolating the parameters of the real camera motion, which requires decomposition of the homography matrix, under several practically reasonable assumptions. Based on this reasoning, backward and forward motion models from the interpolation frame(s) to the original frames of the sequence are estimated for each motion layer. Layer support maps at the point(s) of interpolation in time are generated by using these interpolated motion models and the layer maps of the neighboring original frames. Finally, pixel intensities of the interpolation frame are determined by a series of conditions on the layer occlusion relations and the intensities at the transformed locations of the original frames. Experimental results show that the proposed algorithm achieves visually pleasing results without blur or halo effects on dynamic scenes with complex motion.

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Section: Generating the Interpolation Framementioning

confidence: 99%

Region-based motion-compensated frame rate up-conversion by homography parameter interpolation

Türetken

Alatan²

2009

2009 16th IEEE International Conference on Image Processing (ICIP)

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“…Modifying the display properties by flashing the LCD backlight such that the image is formed more like a CRT [5,6] is effective in reducing motion blur but introduces additional artifacts such as contrast reduction, flickering, and luminance reduction [7]. Frame rate doubling for motion blur reduction has been achieved through a number of different approaches including variations of black frame insertion [8], gamma adjusted frame duplication [9], and motion compensated frame rate up conversion [10,11]. These approaches to increasing the frame rate reduce motion blur by shortening the hold time of the LCD, therefore making the target trajectory as expected by the human observer closer to that on the displayed image.…”

Section: Introductionmentioning

confidence: 99%

“…In this formulation l embodies the tradeoff between how far the output of the FB, UðzÞ, is from the original image and how far the final image, YðzÞ, is from the original. The reasoning behind Eq (8). is that if HðzÞ is normalized and TðzÞ is normalized, then the final output will maintain the same norm as the input image.…”

mentioning

confidence: 98%

Filter banks for improved LCD motion

Har-Noy

Martínez

Nguyen

2010

Signal Processing: Image Communication

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“…Straightforward amendments for LCD motion-blur reduce the constant-frame display duration by black-frame insertion [18] that causes unwanted eye strains, or by interpolationbased frame-rate up conversion [19]- [21] that is computationally intensive and unsuited for complicated motion types. More sophisticated techniques [22]- [24] counteract the LCD motion blur by a pre-display frame filtering, designed based on blur models of the LCD hold-type behavior and the eye-tracking capability of the human visual system.…”

Section: Introductionmentioning

confidence: 99%

Optimized Pre-Compensating Compression

Dar¹,

Elad²,

Bruckstein³

2018

IEEE Trans. on Image Process.

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In imaging systems, following acquisition, an image/ video is transmitted or stored and eventually presented to human observers using different and often imperfect display devices. While the resulting quality of the output image may severely be affected by the display, this degradation is usually ignored in the preceding compression. In this paper we model the sub-optimality of the display device as a known degradation operator applied on the decompressed image/video. We assume the use of a standard compression path, and augment it with a suitable pre-processing procedure, providing a compressed signal intended to compensate the degradation without any post-filtering. Our approach originates from an intricate rate-distortion problem, optimizing the modifications to the input image/video for reaching best end-to-end performance. We address this seemingly computationally intractable problem using the alternating direction method of multipliers (ADMM) approach, leading to a procedure in which a standard compression technique is iteratively applied. We demonstrate the proposed method for adjusting HEVC image/video compression to compensate post-decompression visual effects due to a common type of displays. Particularly, we use our method to reduce motion-blur perceived while viewing video on LCD devices. The experiments establish our method as a leading approach for preprocessing high bit-rate compression to counterbalance a postdecompression degradation.

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Novel frame interpolation method for hold-type displays

Cited by 17 publications

References 2 publications

Region-based motion-compensated frame rate up-conversion by homography parameter interpolation

Region-based motion-compensated frame rate up-conversion by homography parameter interpolation

Filter banks for improved LCD motion

Optimized Pre-Compensating Compression

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