Wannida Sae-Tang

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This paper proposes random sign encryption in JPEG 2000-based data hiding. By multiplying random signs to the discrete wavelet transformed coefficients of an image, the image is visually encrypted. Full and partial random sign encryption is studied in this paper, and effects of both are investigated. From experimental results, both full and partial random(More)
This paper proposes an intensity range reduction method for amplitude-only images (AOIs) which are inversely transformed amplitude components of images and are used in the digital fingerprinting-based image trading system. The conventional method using two dimensional discrete Fourier transformation (2D DFT) causes intensity range (IR) of AOIs too large to(More)
This paper proposes an encryption-then-compression (ETC)-based copyright- and privacy-protected image trading system. It focuses on image copyright protection, consumer's privacy protection, and compression-friendliness with accepting any fingerprinting techniques. In the system, the ETC is applied to images for visual protection of consumer's privacy,(More)
This paper proposes a generation of meaningfully secured images using singular component interchange for copyright- and privacy-protected image trading systems. In the conventional systems, the visually encrypted images are suspicious, because they are not meaningful. Therefore, it can lead the trusted third parties (TTPs) to attack the images. On contrary,(More)
Non-separable color reduction for color images is proposed in this paper. The proposed method befits high bit rate quantization in which, for example, a 24 bits per pixel (bpp) color image is quantized to an image with 18 bpp or more, while the conventional median-cut quantization gives huge quantization errors in such condition. This feature is useful in(More)