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Adaptive polynomial fitting for image compression based on variance of block pixels
Other Title(s)
ملائمة متعدد الحدود المكيف لضغط الصور اعتمادا على تباين عناصر الصورة
Author
al-Bahadili, Riyad Jabbar al-Sudani
Source
Engineering and Technology Journal
Issue
Vol. 33, Issue 8A (31 Aug. 2015), pp.1830-1844, 15 p.
Publisher
Publication Date
2015-08-31
Country of Publication
Iraq
No. of Pages
15
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Information Technology and Computer Science
Topics
Abstract EN
This paper presents a proposed method to compress images using two polynomials with different models based on the value of block pixels variance.
These two polynomials are chosen from different set of models, which give low number of coefficients and preserve the quality of image as much as possible.
This procedure of adaptive fitting ensures that the number of coefficients for each block is as the minimum as possible depending on the value of block variance.
After applying multi-level of scalar quantization and Huffman encoding to polynomials coefficients for each block of image and testing different variance thresholds; mean square error (MSE), peak signal to noise ratio (PSNR), processing time, and compression ratio (CR) are evaluated for two types of images (color and gray scales) and for different block sizes (4x4 and 8x8 pixels).
Computer results showed that the proposed method gives an acceptable compression ratio and image quality compared with non-adaptive fitting.
For 4x4-block size, there is an improvement in PSNR (25.19 dB) compared with nonlinear polynomial case (25.08 dB).
In addition, CR (7.45) is better than both cases (7.11 for linear and 5.56 for nonlinear polynomial case).
The results showed that the suggested method of adaptive polynomial fitting is more suitable for gray scale images (including handwriting images).
American Psychological Association (APA)
al-Bahadili, Riyad Jabbar al-Sudani. 2015. Adaptive polynomial fitting for image compression based on variance of block pixels. Engineering and Technology Journal،Vol. 33, no. 8A, pp.1830-1844.
https://search.emarefa.net/detail/BIM-655603
Modern Language Association (MLA)
al-Bahadili, Riyad Jabbar al-Sudani. Adaptive polynomial fitting for image compression based on variance of block pixels. Engineering and Technology Journal Vol. 33, no. 8A (2015), pp.1830-1844.
https://search.emarefa.net/detail/BIM-655603
American Medical Association (AMA)
al-Bahadili, Riyad Jabbar al-Sudani. Adaptive polynomial fitting for image compression based on variance of block pixels. Engineering and Technology Journal. 2015. Vol. 33, no. 8A, pp.1830-1844.
https://search.emarefa.net/detail/BIM-655603
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1843-1844
Record ID
BIM-655603