Robust Image Compression using Integer Wavelet Transform Exploiting Lifting Scheme

Mukherjee, Tilottama; Swamy, B.Y.V.N.R; Bhavani, M.

doi:10.14445/22315381/ijett-v7p256

Cited by 2 publications

(2 citation statements)

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“…(i) Split: input image or signal is divided into even and odd coefficients (ii) Predict: combining even values from predicted odd samples and then subtracting it from calculated odd samples to generate prediction error (iii) Update: add the computed predicted error to update the entire even samples Forward LS is used to compress the image and reverse LS for the reconstruction of the signal. Every transform by this scheme can be inverted [24,32].…”

Section: Preliminariesmentioning

confidence: 99%

“…Another technique of compression, IWT, was presented. The lifting process was used, which compressed the image by dividing the odd and even coefficients and then generating four subband images [32]. To achieve compression and scramble the pixels data of an image based on set partitioning in hierarchical trees (SPIHT) was suggested by Xiang et al in [33].…”

Section: Introductionmentioning

confidence: 99%

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A Metaheuristic Approach to Secure Multimedia Big Data for IoT‐Based Smart City Applications

Gill

Singh

Kaur

et al. 2021

Wireless Communications and Mobile Computing

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Media streaming falls into the category of Big Data. Regardless of the video duration, an enormous amount of information is encoded in accordance with standardized algorithms of videos. In the transmission of videos, the intended recipient is allowed to receive a copy of the broadcasted video; however, the adversary also has access to it which poses a serious concern to the data confidentiality and availability. In this paper, a cryptographic algorithm, Advanced Encryption Standard, is used to conceal the information from malicious intruders. However, in order to utilize fewer system resources, video information is compressed before its encryption. Various compression algorithms such as Discrete Cosine Transform, Integer Wavelet transforms, and Huffman coding are employed to reduce the enormous size of videos. moving picture expert group is a standard employed in video broadcasting, and it constitutes of different frame types, viz., I, B, and P frames. Later, two frame types carry similar information as of foremost type. Even I frame is to be processed and compressed with the abovementioned schemes to discard any redundant information from it. However, I frame embraces an abundance of new information; thus, encryption of this frame is sufficient enough to safeguard the whole video. The introduction of various compression algorithms can further increase the encryption time of one frame. The performance parameters such as PSNR and compression ratio are examined to further analyze the proposed model’s effectiveness. Therefore, the presented approach has superiority over the other schemes when the speed of encryption and processing of data are taken into consideration. After the reversal of the complete system, we have observed no major impact on the quality of the deciphered video. Simulation results ensure that the presented architecture is an efficient method for enciphering the video information.

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Section: Preliminariesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%