A Novel Lattice Structure of M-Channel Paraunitary Filter Banks

In this paper, we propose a lattice structure of two-dimensional (2-D) linear-phase paraunitary filter banks (LPPUFBs) called as 2-D GenLOT. Muramatsu et al. have proposed a lattice structure of 2-D LPPUFBs conventionally. Our 2-D GenLOTs save design parameters and computational costs compared to the conventional 2-D LPPUFBs. We impose the regularity condition on the proposed FBs for image coding application. The 2-D GenLOTs perform an efficient image coding application.

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“…The simplification guarantees to keep properties. This method is similar to that proposed in [7] in the process reducing its parameters.…”

Section: Simplified Structurementioning

confidence: 86%

A simplified lattice structure of two-dimensional generalized lapped orthogonal transform (2-D GenLOT) for image coding

Yoshida

Kyochi

Ikehara

2010

2010 IEEE International Conference on Image Processing

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“…In [35], by reducing the redundant parameters in Householder matrix, a novel lifting structure for PUFBs which has less implementation costs similar to [34] are not only applied to lossless image coding but also lossy image coding.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

“…A lattice structure presented in [34] has less implementation cost than that in [33]. The lattice structure in [34] is represented as…”

Section:  mentioning

confidence: 99%

A Review on Lossy to Lossless Image Coding

Gawande¹,

Nalbalwar²

2013

IJCA

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With increasing demand for applications in multimedia, mobile communications and computer networks, the field of image coding attracts many researchers. Accomplishment of higher compression ratio while retaining good image quality is needful in the present demanding environment.Many multimedia applications are demanding for low disk memory requirement, faster and good perceptual quality for images/video. In this paper, authors have reviewed abundant attempts made by researchers to fulfill the requirement of lossy to lossless image coding. One of the best choices for image coding was DCT which is replaced by DWT.Authors have presented state of art for various methods in lossy to lossless coding domain. With the advancement in research in the fields namely filter banks and lifting based wavelet transforms, image coding with filter banks is currently best suitable method in all aspects.

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