By cropping an image and adding a learned error-painting correction module, an off-the-shelf 64-bit watermarking model is claimed to carry 2048-bit signatures with 86.3% zero-bit-error image rate under JPEG compression.
A novel technique for image steganography based on Block-DCT and Huffman Encoding
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abstract
Image steganography is the art of hiding information into a cover image. This paper presents a novel technique for Image steganography based on Block-DCT, where DCT is used to transform original image (cover image) blocks from spatial domain to frequency domain. Firstly a gray level image of size M x N is divided into no joint 8 x 8 blocks and a two dimensional Discrete Cosine Transform (2-d DCT) is performed on each of the P = MN / 64 blocks. Then Huffman encoding is also performed on the secret messages/images before embedding and each bit of Huffman code of secret message/image is embedded in the frequency domain by altering the least significant bit of each of the DCT coefficients of cover image blocks. The experimental results show that the algorithm has a high capacity and a good invisibility. Moreover PSNR of cover image with stego-image shows the better results in comparison with other existing steganography approaches. Furthermore, satisfactory security is maintained since the secret message/image cannot be extracted without knowing decoding rules and Huffman table.
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cs.CR 1years
2025 1verdicts
REJECT 1representative citing papers
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README: Robust Error-Aware Digital Signature Framework via Deep Watermarking Model
By cropping an image and adding a learned error-painting correction module, an off-the-shelf 64-bit watermarking model is claimed to carry 2048-bit signatures with 86.3% zero-bit-error image rate under JPEG compression.