Digital Image Processing with Application to Digital Cinema

Thyagarajan, K. S.

doi:10.4324/9780080477275

Cited by 7 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The quantisation and de-quantisation process defined in (7) and (8) depicts a similar type mid-tread uniform scalar quantiser used in JPEG and JPEG 2000 compression standards [15,32,37]. Further, to compress the test images at various compression rates, different quantisation step sizes have been utilised.…”

Section: Resultsmentioning

confidence: 99%

Hybrid WPT‐BDCT transform for high‐quality image compression

Thakur¹,

Gupta²,

Thakur

2017

IET Image Processing

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 99%

Hybrid WPT‐BDCT transform for high‐quality image compression

Thakur¹,

Gupta²,

Thakur

2017

IET Image Processing

View full text Add to dashboard Cite

“…The best match on the basis of a mean absolute error (M AE) criterion yields displacement relative to current block called motion vector. Predicted frame is obtained by blocks in reference frame and corresponding motion vectors [4,11,13]. In contrast to BMAs, we do not find matching pixel or matching block.…”

Section: Related Workmentioning

confidence: 99%

A new method for video data compression by quadratic Bézier curve fitting

Khan

2010

SIViP

View full text Add to dashboard Cite

This paper presents a new and efficient method for video data compression using quadratic Bézier curve fitting. The method treats the luminance or color variations of a spatial location in a sequence of frames as input points in Euclidean space R 1 or R 3 . The input points are approximated using quadratic Bézier least square fitting. The output data consists of quadratic Bézier control points and difference between original and fitted data. Video data compression is the main application of proposed method. It is shown that entropy of output data is significantly less than the entropy of input data. The method can be applied to 1-D space like luminance and chrominance components separately or 3-D color spaces such as RG B and Y C b C r .

show abstract

“…The objective of this section is to evaluate numerically the performance of the SA1 multiwavelet, and compare it to some well-known orthogonal and biorthogonal multiwavelets, with the criteria being coding gain (CG) [60,70], Sobolev smoothness (S) [43], symmetry/antisymmetry (SA), and length. The CG for orthogonal transforms is a good indication of the performance in signal processing.…”

Section: Comparative Analysismentioning

confidence: 99%

Design of a Simple Orthogonal Multiwavelet Filter by Matrix Spectral Factorization

Kolev

Cooklev

Keinert

2019

Circuits Syst Signal Process

View full text Add to dashboard Cite

We consider the design of an orthogonal symmetric/antisymmetric multiwavelet from its matrix product filter by matrix spectral factorization (MSF). As a test problem, we construct a simple matrix product filter with desirable properties, and factor it using Bauer's method, which in this case can be done in closed form. The corresponding orthogonal multiwavelet function is derived using algebraic techniques which allow symmetry to be considered. This leads to the known orthogonal multiwavelet SA1, which can also be derived directly. We also give a lifting scheme for SA1, investigate the influence of the number of significant digits in the calculations, and show some numerical experiments.Keywords orthogonal multiwavelets · matrix spectral factorization · Bauer's algorithm · Youla and Kazanjian algorithm · lifting scheme · PLUS matrices · Alpert multiwavelet 1 Introduction and Problem Formulation A digital filter bank is a collection of r filters F k (z), k = 0, . . . , r − 1, which split a discretetime signal into r subbands. These subband signals are usually decimated by a factor of r.

show abstract

Digital Image Processing with Application to Digital Cinema

Cited by 7 publications

References 0 publications

Hybrid WPT‐BDCT transform for high‐quality image compression

Hybrid WPT‐BDCT transform for high‐quality image compression

A new method for video data compression by quadratic Bézier curve fitting

Design of a Simple Orthogonal Multiwavelet Filter by Matrix Spectral Factorization

Contact Info

Product

Resources

About