JOURNAL ARTICLE

<title>Fast-lapped transform for image coding</title>

Ricardo L. de QueirozTrac D. Tran

Year: 2000 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 3974 Pages: 2-10   Publisher: SPIE

Abstract

This paper introduces a class of linear phase lapped biorthogonal transforms with basis functions of variable length. A lattice is used to enforce both linear phase and perfect reconstruction properties as well as to provide a fast and e#cient transform implementation for image coding applications. In the proposed formulation which we call fast lapped transform (FLT), the higher frequency filters (basis functions) are those of the DCT, which are compact to limit ringing. The lower frequency filters (basis functions) are overlapped for representing smooth signals while avoiding blocking artifacts. A great part of the FLT computation is spent at the DCT stage, which can be implemented through fast algorithms, while just a few more operations are needed to implement the extra stages. For example, compared to the DCT, an FLT with good performance can be implemented with only 8 extra additions and 6 extra multiplications for an 8-sample block. Yet, image coding examples show that the FLT is...

Keywords:
Lapped transform Discrete cosine transform Biorthogonal system Computer science Algorithm Transform coding Ringing Linear phase Basis function Wavelet transform Image compression Coding (social sciences) Ringing artifacts Wavelet Mathematics Image processing Image (mathematics) Artificial intelligence Computer vision Filter (signal processing)

Metrics

6
Cited By
1.13
FWCI (Field Weighted Citation Impact)
10
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing

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