Passport photo compression technique with JPEG2000

Hou, Jun; Li, Ran; Cheng, Yan; Shi, Haojie

doi:10.1109/icma.2013.6618116

Cited by 4 publications

(1 citation statement)

References 14 publications

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“…Jun et al [17], compressed formal facial color image loosely using the color transformation model of YUV, the system starts by isolating the facial Region of Interest (ROI) region from the non-facial (background) region using linear modeling scheme of non-uniform illumination base, followed by Sobel edge detector, thresholding and morphological filter. The facial (ROI) region is also segmented from the body one using skin detection of local minimum and maximum values, finally the facial region is coded using JPEG2000 with maximum shift (MAXSHIFT), while the background is set to zero values.…”

Section: Literature Reviewmentioning

confidence: 99%

Passport Photo Compression: A Review

AL-Obaidi,

AL-Khafaji

2022

J. Al-Qadisiyah Comp. Sci. Math.

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The demand for electronic -passport photo ( frontal facial) images has grown rapidly. It now extends to Electronic Government (E-Gov) applications such as social benefits driver's license, e-passport, and e-visa . With the COVID 19 (coronavirus disease ), facial (formal) images are becoming more widely used and spreading quickly, and are being used to verify an individual's identity, but unfortunately that comes with insignificant details of constant background which leads to huge byte consumption that affects storage space and transmission, where the optimal solution that aims to curtail data size using compression techniques that based on exploiting image redundancy(s) efficiently.

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Section: Literature Reviewmentioning

confidence: 99%