Topic
Lossless JPEG
About: Lossless JPEG is a research topic. Over the lifetime, 2415 publications have been published within this topic receiving 51110 citations. The topic is also known as: Lossless JPEG & .jls.
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Papers
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08 Nov 2006TL;DR: Two efficient information hiding algorithms in the least significant bits of JPEG coefficients of images are proposed that embed information by modifying JPEG coefficients in such a way that the introduced distortion is minimized.
Abstract: We propose two efficient information hiding algorithms in the least significant bits of JPEG coefficients of images. Our algorithms embed information by modifying JPEG coefficients in such a way that the introduced distortion is minimized. We derive the expected value of the additional error due to distortion as a function of the message length and the probability distribution of the JPEG quantization errors of cover images. We have implemented our methods in Java and performed the extensive experiments with them. The experiments have shown that our theoretical predictions agree closely with the actual introduced distortions.
3 citations
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01 Jan 1990-Transactions of the Institute of Electronics and Communication Engineers of Japan. Section E
3 citations
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14 Mar 2013TL;DR: The experimental results show that the estimated quantization tables can be used to normally display the image with no visual distorted and that the method is more effective when the compression quality is high.
Abstract: Header information is vital to decode and display a JPEG file. Therefore, it is necessary for head-missing JPEG fragment to estimate the header information. In this paper, a novel method is proposed to approximately reconstruct JPEG quantization tables. Based on the saturated overflow phenomenon introduced in the inverse DCT transform, the original quantization tables can be approximately rebuilt by our algorithm. The experimental results show that the estimated quantization tables can be used to normally display the image with no visual distorted. Experiments also prove that the method is more effective when the compression quality is high.
3 citations
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TL;DR: Simulation experiments prove that this algorithm of image wavelet coefficient LH2 and HL2 was blocked and computed each of block coefficient energy based on the relative energy relations embedded watermark so that it can ascertain the position of vicious attack exactly.
Abstract: Semi-Fragile watermark has attracted attention due to its important role in content authentication for multimedia.In order to differentiate incidental attacks and malicious attacks,semi-fragile watermark should be robust against content-protection image processing.Semi-fragile watermark resisting to JPEG compression while maintaining high detection ability to tamper has been the emphasis in the area.This algorithm of image wavelet coefficient LH2 and HL2 was blocked and computed each of block coefficient energy based on the relative energy relations embedded watermark.Simulation experiments prove that it will not degrade the objective and subjective quality of original images,the good robustness to JPEG and the larger amount of embedded information.What’s more,it can ascertain the position of vicious attack exactly.
3 citations
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TL;DR: The experimental results show that the image quality of the new block-based scheme for lossless progressive image transmission is better than those in the BPM and improved BPM in related traditional works under the same transmission load.
Abstract: The lossless compression of images is widely used in medical imaging and remote sensing applications. Also, progressive transmission of images is often desirable because it can reduce the transmission bits of an image. Therefore, combining the features of lossless compression and progressive transmission of images has been intensely researched. The bitplane method (BPM) is the simplest way to implement a lossless progressive image transmission system. In the present paper, a new block-based scheme for lossless progressive image transmission is proposed. This scheme will reduce the transmission load and improve the image quality of BPM. This method first performs a quantization operation upon the blocks of an image. Next, these blocks are encoded with fewer bits, and the bits are then transmitted phase by phase. The experimental results show that the image quality of this method is better than those in the BPM and improved BPM in related traditional works under the same transmission load. Moreover,...
3 citations