CLASSIFICATION OF BIT-PLANE NOISE ON IMAGES USING FUZZY LOGIC

Authors

  • Rahmad Hidayat Department of Electrical Engineering, State Polytechnic of Lhokseumawe , Jurusan Teknik Elektro Politeknik Negeri Lhokseumawe

DOI:

https://doi.org/10.33019/ecotipe.v2i1.56

Keywords:

Steganografi, Bit-Plane, BPCS, Threshold, Stego-Image, Fuzzy

Abstract

BPCS (Bit-Plane Complexity Segmentation) is a fairly new steganography technique The most important process in BPCS is the calculation of complexity value of a bit-plane. The bit-plane complexity is calculated by looking at how much of the change bits contained in a bit-plane. If the bit-plane, has a high complexity, the bi-plane is categorized as a bit-plane noise that does not contain valuable information on the image. Classification bit-plane using the set cripst set (noise/not) is not fair, where a little  difference of the value will significantly change the status of the bit-plane. This study attempts to apply the principles of fuzzy sets to classify the bit-plane into into three sets are informative, informative part, and the noise region. Classification bit-plane into a fuzzy set stretcher expected to classify the bit-plane is more objective and ultimately the capacity of images to the message can be improved by using the fuzzy inference mamdani to take decisions which bit-plane will be replaced with a message based on the classification of bit-plane and the size of the message that will be inserted.

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Published

30.04.2015

Issue

Vol. 2 No. 1 (2015): Jurnal Ecotipe, April 2015

Section

Articles

License

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  1. The author acknowledges that the Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) has the right to publish for the first time with a Creative Commons Attribution 4.0 International License.
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How to Cite

[1]
R. Hidayat, “CLASSIFICATION OF BIT-PLANE NOISE ON IMAGES USING FUZZY LOGIC”, JurnalEcotipe, vol. 2, no. 1, pp. 20–25, Apr. 2015, doi: 10.33019/ecotipe.v2i1.56.