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Maximizing Image Information Using Multi-Chimera Transform Applied on Face Biometric Modality

Computer Engineering Department, College of Engineering-Mustansiriyah University, Baghdad 10047, Iraq
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Academic Editor: Pavel Zemčík
Information 2021, 12(3), 115; https://doi.org/10.3390/info12030115
Received: 20 January 2021 / Revised: 15 February 2021 / Accepted: 25 February 2021 / Published: 8 March 2021
(This article belongs to the Section Information Applications)
With the development of mobile technology, the usage of media data has increased dramatically. Therefore, data reduction represents a research field to maintain valuable information. In this paper, a new scheme called Multi Chimera Transform (MCT) based on data reduction with high information preservation, which aims to improve the reconstructed data by producing three parameters from each 16×16 block of data, is proposed. MCT is a 2D transform that depends on constructing a codebook of 256 picked blocks from some selected images which have a low similarity. The proposed transformation was applied on solid and soft biometric modalities of AR database, giving high information preservation with small resulted file size. The proposed method produced outstanding performance compared with KLT and WT in terms of SSIM and PSNR. The highest SSIM was 0.87 for the proposed scheme MCT of the full image of AR database, while the existed method KLT and WT had 0.81 and 0.68, respectively. In addition, the highest PSNR was 27.23 dB for the proposed scheme on warp facial image of AR database, while the existed methods KLT and WT had 24.70 dB and 21.79 dB, respectively. View Full-Text
Keywords: image processing; image compression; Karhunen-Loeve Transform; wavelet transform; data reduction; biometric image processing; image compression; Karhunen-Loeve Transform; wavelet transform; data reduction; biometric
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MDPI and ACS Style

Mohammad, A.S.; Zaghar, D.; Khalaf, W. Maximizing Image Information Using Multi-Chimera Transform Applied on Face Biometric Modality. Information 2021, 12, 115. https://doi.org/10.3390/info12030115

AMA Style

Mohammad AS, Zaghar D, Khalaf W. Maximizing Image Information Using Multi-Chimera Transform Applied on Face Biometric Modality. Information. 2021; 12(3):115. https://doi.org/10.3390/info12030115

Chicago/Turabian Style

Mohammad, Ahmad S., Dhafer Zaghar, and Walaa Khalaf. 2021. "Maximizing Image Information Using Multi-Chimera Transform Applied on Face Biometric Modality" Information 12, no. 3: 115. https://doi.org/10.3390/info12030115

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