Motion compensated deinterlacing of video sequences

Wang, F.-M.; Anastassiou, Dimitris; Netravali, Arun N.

doi:10.1109/mdsp.1989.97138

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(19) Again, certain constraints have to be met by the filters so as to meet (19) leads to perfect reconstruction [10,20]. Cascades of the polyphase matrices corresponding to the filters in (23) and (24) will generate larger filters retaining the same symmetry properties, and still allowing perfect FIR reconstruction [10]. By choosing b = 1 and c = a one obtains additional circular symmetry (the property is also retained when cascading the polyphase matrices).…”

Section: The Linear Phase Casementioning

confidence: 99%

See 1 more Smart Citation

Perfect reconstruction filter banks for HDTV representation and coding

Vetterli

Kovačević

LeGall

1990

Signal Processing: Image Communication

View full text Add to dashboard Cite

Abstract. Subband decomposition of HDTV signals is important both for representation purposes (to create compatible subchannels) and for coding (several proposed compression schemes include some subband division). We first review perfect reconstruction filter banks in multiple dimensions in the context of arbitrary sampling patterns. Then we concentrate on the special case of quincunx subsampling and derive filter banks to go from progressive to interlaced scanning (with a highpass which contains deinterlacing information) as well as from interlaced to progressive. We apply this decomposition to a sequence and indicate bitrates.

show abstract

Section: The Linear Phase Casementioning

confidence: 99%

“…Note that this is recovery of the progressive sequence. Note also that the above approaches are nonlinear [23]. In the second case, an interlaced sequence is separated into lowpass and highpass versions, again with diamond shaped filters, and then quincunx subsampled.…”

Section: Introductionmentioning

confidence: 99%

Perfect reconstruction filter banks for HDTV representation and coding

Vetterli

Kovačević

LeGall

1990

Signal Processing: Image Communication

View full text Add to dashboard Cite

show abstract

Spatial resolution enhancement of images using nonlinear interpolation

Jensen

Anastassiou

International Conference on Acoustics, Speech, and Signal Processing

Self Cite

View full text Add to dashboard Cite

A nonlinear interpolation scheme for image resolution enhancement is presented. The algorithm is based upon a source model emphasizing edges and incorporates a hybrid local edge fitting operator which has been developed for this application. A small neighborhood about each pixel in the low resolution image is first mapped to a best fit continuous space step-edge. This bilevel approximation serves as a local template upon which the higher resolution sampling grid can then be superimposed (disputed values in regions of overlap are averaged to smooth errors). The result is an image of increased resolution with noticeably sharper edges and lower reconstruction error than produced by linear techniques.

show abstract

A multiresolution approach for all-digital HDTV

Vetterli

Anastassiou

1990

IEEE International Conference on Communications, Including Supercomm Technical Sessions

View full text Add to dashboard Cite

Motion compensated deinterlacing of video sequences

Cited by 3 publications

References 0 publications

Perfect reconstruction filter banks for HDTV representation and coding

Perfect reconstruction filter banks for HDTV representation and coding

Spatial resolution enhancement of images using nonlinear interpolation

A multiresolution approach for all-digital HDTV

Contact Info

Product

Resources

About