Bent QR Code Image Rectification Method Based on Image-To-Image Translation Network

Different color patterns of quick response (QR) codes, such as RGB, grayscale, and binary QR codes, are widely used in applications. In this paper, we propose a novel XOR-based visual secret sharing (VSS) scheme using grayscale QR codes as cover images and binary QR code as secret image. First, all the codewords of the secret QR code image are encoded into n temporary binary QR code images, which are substituted for the second significant bit planes of the grayscale QR code cover images to generate n shares. Each share is a grayscale QR code image, which can be decoded by a standard QR code decoder, so that it may not attract the attention of potential attackers when distributed in the public channel. The secret image can be recovered by XORing the codewords regions of QR codes which are extracted from the second significant bit planes of the grayscale shares. More importantly, the proposed scheme is robust to JPEG compression, addition of different noises, rotation, resizing, and cropping, which is useful in practice. The effectiveness and robustness of our scheme are shown by the experimental results. The application of QR code is suitable for wireless multimedia data security.

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Research on Binarization of QR Code Image

2010 International Conference on Multimedia Technology ◽

10.1109/icmult.2010.5631155 ◽

2010 ◽

Cited By ~ 6

Author(s):

Jiejing Zhou ◽

Yunfei Liu ◽

Peng Li

Keyword(s):

Qr Code ◽

Code Image

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Rapid and Blind Watermarking Approach of the 3D Objects Using QR Code Images for Securing Copyright

Computational Intelligence and Neuroscience ◽

10.1155/2021/2236866 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Hanan S. Al-Saadi ◽

Ahmed Elhadad ◽

A. Ghareeb

Keyword(s):

Digital Media ◽

Three Dimensional ◽

Extraction Process ◽

Manhattan Distance ◽

Human Observer ◽

Qr Code ◽

3D Object ◽

3D Objects ◽

Wide Range ◽

Code Image

Watermarking techniques in a wide range of digital media was utilized as a host cover to hide or embed a piece of information message in such a way that it is invisible to a human observer. This study aims to develop an enhanced rapid and blind method for producing a watermarked 3D object using QR code images with high imperceptibility and transparency. The proposed method is based on the spatial domain, and it starts with converting the 3D object triangles from the three-dimensional Cartesian coordinate system to the two-dimensional coordinates domain using the corresponding transformation matrix. Then, it applies a direct modification on the third vertex point of each triangle. Each triangle’s coordinates in the 3D object can be used to embed one pixel from the QR code image. In the extraction process, the QR code pixels can be successfully extracted without the need for the original image. The imperceptibly and the transparency performances of the proposed watermarking algorithm were evaluated using Euclidean distance, Manhattan distance, cosine distance, and the correlation distance values. The proposed method was tested under various filtering attacks, such as rotation, scaling, and translation. The proposed watermarking method improved the robustness and visibility of extracting the QR code image. The results reveal that the proposed watermarking method yields watermarked 3D objects with excellent execution time, imperceptibility, and robustness to common filtering attacks.

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