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Binary Image Enhancement using PAI Model for Noise Suppression in Spatial Domain

I. Suneetha*, T.Venkateswarlu**

* Associate Professor,ECE Department,AITS,Tirupati,India.

** Professor,ECE Department,S.V. University College of Engineering,Tirupati,India.

Periodicity:January - March'2014
DOI : https://doi.org/10.26634/jip.1.1.2698

Abstract

The main objective of binary image enhancement is to process a binary image so that result is more suitable for specific application. While processing images, noise corrupts due to sensing of images sensed by malfunctioning cameras, image storage in faulty memory locations and image transmission via noisy channels. Binary images are useful for some applications as they need less memory for storage, less bandwidth for transmission and less computational time for processing. Hence it is necessary to suppress noise in noisy images to extract the necessary details. This paper proposes binary image enhancement technique using a parameterized adaptive iterative model in spatial domain. The type of noise considered is salt and pepper noise. Performance of the proposed method can be measured via subjective results like input-output images and objective like peak signal to noise ratio.

Keywords

Binary Image Processing (BIP), Image Enhancement (IE), Parameterized Adaptive Iterative (PAI).

How to Cite this Article?

Suneetha, I., and Venkateswarlu, T. (2014). Binary Image Enhancement using PAI Model for Noise Suppression in Spatial Domain. i-manager’s Journal on Image Processing, 1(1), 7-12. https://doi.org/10.26634/jip.1.1.2698

References

[ 1 ] . Suneetha . I and venkateswarlu . T. (2012). “Enhancement Techniques for Gray scale Images in Spatial Domain”, International Journal of Emerging Technology and Advanced Engineering, (ISSN 2250- 2459) Volume 2, Issue 4, pp.13-20.

[ 2 ] . Suneetha . I and venkateswarlu . T. ( 2012). “Enhancement Techniques for True Color Images in Spatial Domain”, International Journal of Computer Science & Technology (IJCST), (ISSN 0976-8491) Volume 3, Issue 2, pp. 814-820.

[3]. Suneetha.I and Venkateswarlu.T,(2012). “Image Enhancement through Contrast Improvement using a Linear Parameterized Gradient Intercept Model”, ARPN Journal of Engineering and Applied Scinces(ARPN-JEAS), (ISSN 1819-6608) Volume 7, No.8, pp. 945-949.

[4]. Suneetha.I and Venkateswarlu.T,(2012). “Image Enhancement through Noise Suppression using a Nonlinear Parameterized Adaptive Recursive Model”, International Journal of Engineering Research and Applications(IJERA), (ISSN 2248-9622) Volume 2, Issue 4,pp. 1129-1136

[5]. Suneetha.I and Venkateswarlu.T,(2012). “Spatial Domain Image Enhancement using Parameterized Hybrid Model”, International Journal of Electronics and Communication Engineering & Technology (IJECET), Website: (ISSN Print 0976-6464 ISSN Online 0976-6472) Volume 3, Issue 2, pp. 209-216.

[6]. Suneetha.I and Venkateswarlu.T,(2012). “Image Enhancement through Contrast Improvement in ROI using Local PGI Model”, International Journal of Computer Applications (IJCA), (ISSN 0975-8887) Volume 54-No.4, pp. 47-53.

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Binary Image Enhancement using PAI Model for Noise Suppression in Spatial Domain

Abstract

Keywords

How to Cite this Article?

References

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