Discrete Wavelet Transform with Adaptive Network-Based Fuzzy Inference System for Compression of Images
N. Mahendiran1, C. Deepa2

1N. Mahendiran, As Assistant Professor in the Department of Computer Science in Sri Ramakrishna College of Arts & Science (Formerly Snr Sons College), Coimbatore, (Tamil Nadu), India.
2Dr. C. Deepa, Associate Professor in Information Technology in Sri Ramakrishna College of Arts & Science (Formerly SNR Sons College), Coimbatore, (Tamil Nadu), India.
Manuscript received on 29 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 748-756 | Volume-8 Issue-9, July 2019 | Retrieval Number: F4092048619/19©BEIESP | DOI: 10.35940/ijitee.F4092.078919

Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Image Encryption has a significant role to play in different fields like information security.Images are encryptedfor various purposes. Compression refers to the process that is carried out once the encryption is completed. In this review work, a hybrid technique has been followed for image encryption and decryption. First, input images are sent for preprocessing employing the median filter with the aim of removing the noise that is regarded to be unnecessary. This elimination process aids in improving the quality of the particular image. So the denoised image can be divided into different segments with the goal of encrypting the various blocks of images. This way, the required and unwanted blocks can be found during this above-mentioned process. Encryption technique would follow Hybrid Chaos along with Discrete Cosine Transform shortly known as DCT. The encrypted image is then compressed with the help of Discrete Wavelet Transform (DWT) With Adaptive Network-Based Fuzzy Inference System (ANFIS). The experimental results indicate that the newly introduced DWT-ANFIS based compression attains a better performance in comparison with the availablecompression approaches in terms of Compression Ratio (CR) and Peak-Signal-Noise-Ratio (PSNR).
Index Terms: Encryption, Compression, Adaptive Median Filtering, Segmentation, Encryption, Discrete Wavelet Transform (DWT), Adaptive Network-Based Fuzzy Inference System (ANFIS).
Scope of the Article: Fuzzy Logics