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This work proposes a novel scheme of compressing and decompressing encrypted image based on compressive sensing. An original image is encrypted as a set of coefficients by a secret orthogonal transform. Since the image has sparse representation in conventional transform domain and can be recovered from a small quantity of measurements, the encrypted image data are compressed into a series of measurement...
This paper proposes a novel watermarking scheme with flexible self-recovery quality. The embedded watermark data for content recovery are calculated from the original discrete cosine transform (DCT) coefficients of host image and do not contain any additional redundancy. When a part of a watermarked image is tampered, the watermark data in the area without any modification still can be extracted....
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