Grand Alliance HDTV multi-format scan converter

Bhatt, B.; Templin, Fred; Cavallerano, A.P.; Gornstein, V.; Hogstrom, B.; Derovanessian, H.; Lamadrid, S.; Mailhot, John

doi:10.1109/30.477220

Cited by 13 publications

(15 citation statements)

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“…A three-input median filter is used by conventional motion adaptive methods such as GAH proposed by Bhatt [2] and NAMMC proposed by Yan [6]. As Eq.…”

Section: Improved Temporal Interpolation (Inter-field Interpolationmentioning

confidence: 99%

“…Also, recent flat panel displays such as LCD and PDP require the use of the progressive format. Thus, various methods of deinterlacing [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], which convert field pictures in interlaced video into frame pictures in progressive video, have been presented.…”

Section: Introductionmentioning

confidence: 99%

“…The existing deinterlacing methods can roughly be classified into linear and nonlinear methods [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…However, these methods produce visible artifacts in edge regions and moving areas. To overcome this drawback, Non-linear deinterlacing methods such as motion compensated (MC) methods [9][10][11][12], edge-based line average (ELA) method [5] and motion adaptive methods [13][14][15][16] [19] have been proposed.…”

Section: Introductionmentioning

confidence: 99%

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A motion adaptive deinterlacing method based on human visual system

Pang

Lei

Chen

et al. 2011

2011 4th International Congress on Image and Signal Processing

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Based on the analysis of conventional deinterlacing methods, a new motion adaptive deinterlacing method is proposed. In this paper, we improve three aspects of the conventional motion adaptive method. Firstly, we add a FIR filter to the motion detection part, which not only avoids the wrong detecting of moving objects but also reduces the noises effectively. Secondly, according to the fact, that human eyes are less sensitive to lighter or darker area than gray area, a threshold adaptive method is introduced, which enhanced the subjective quality of deinterlacing. Thirdly, we adopted different interpolation methods for different pixels, which improved the deinterlacing quality of motionless videos. The simulation results show that our proposed deinterlacing method can achieve higher PSNR (peak signal noise ratio) than that of previous studies and can also attain better quality of subjective view.

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“…A three-input median filter is used by conventional motion adaptive methods such as GAH proposed by Bhatt [2] and NAMMC proposed by Yan [6]. As Eq.…”

Section: Improved Temporal Interpolation (Inter-field Interpolationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The existing deinterlacing methods can roughly be classified into linear and nonlinear methods [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A motion adaptive deinterlacing method based on human visual system

Pang

Lei

Chen

et al. 2011

2011 4th International Congress on Image and Signal Processing

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show abstract

“…The performance of hybrid methods improves due to exploiting both spatial and temporal correlations. A wide range of hybrid methods are available in literature [4][5][6][7][8][9][10]. The most advanced hybrid methods are motion compensated and motion adaptive methods [2].…”

Section: Introductionmentioning

confidence: 99%

A motion adaptive deinterlacing method with hierarchical motion detection algorithm

Shahinfard

Ahmed

Ahmadi

2008

2008 15th IEEE International Conference on Image Processing

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This paper presents a motion adaptive deinterlacing method for high quality conversion of interlace video format to progressive video format. A high performance and low complexity algorithm for motion detection is proposed. This algorithm uses five consecutive interlace video fields for motion detection, so it is able to capture a wide range of motions from slow moving objects to fast motions. The proposed motion detection algorithm benefits from a hierarchal structure where the algorithm starts with detecting motion in large partitions of a given field. Depending on the detected motion activity level, the motion detection algorithm might be recursively applied to subblocks of the original partition. Two low pass filters are used during the motion detection to increase the algorithm accuracy. The result of motion detection is then used in a motion adaptive interpolator for high quality deinterlacing. Excellent experimental results are obtained for motion detection and deinterlacing performance.

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