Fast Transforms in Image Processing : Compression, Restoration, and Resampling

Author

Yaroslavsky, Leonid P.

Source

Advances in Electrical Engineering

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-23, 23 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-07-06

Country of Publication

Egypt

No. of Pages

23

Main Subjects

Electronic engineering

Abstract EN

Transform image processing methods are methods that work in domains of image transforms, such as Discrete Fourier, Discrete Cosine, Wavelet, and alike.

They proved to be very efficient in image compression, in image restoration, in image resampling, and in geometrical transformations and can be traced back to early 1970s.

The paper reviews these methods, with emphasis on their comparison and relationships, from the very first steps of transform image compression methods to adaptive and local adaptive filters for image restoration and up to “compressive sensing” methods that gained popularity in last few years.

References are made to both first publications of the corresponding results and more recent and more easily available ones.

The review has a tutorial character and purpose.

American Psychological Association (APA)

Yaroslavsky, Leonid P.. 2014. Fast Transforms in Image Processing : Compression, Restoration, and Resampling. Advances in Electrical Engineering،Vol. 2014, no. 2014, pp.1-23.
https://search.emarefa.net/detail/BIM-459627

Modern Language Association (MLA)

Yaroslavsky, Leonid P.. Fast Transforms in Image Processing : Compression, Restoration, and Resampling. Advances in Electrical Engineering No. 2014 (2014), pp.1-23.
https://search.emarefa.net/detail/BIM-459627

American Medical Association (AMA)

Yaroslavsky, Leonid P.. Fast Transforms in Image Processing : Compression, Restoration, and Resampling. Advances in Electrical Engineering. 2014. Vol. 2014, no. 2014, pp.1-23.
https://search.emarefa.net/detail/BIM-459627

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-459627