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The purpose of this paper is to embed information on codes when using search-order coding (SOC) to compress index table. The proposed method reassigned the shorter indicators to the indices that can be transformed to SOC codes and those that can not be transformed are assigned by the other indicators. If the cover image is a smooth image, the proposed method can significantly reduce the size of compression...
Although JPEG2000 is powerful for image compression, since it requires a large buffer size, it is not as popular as JPEG. In industry, less buffer size requirement is an important issue in image compression because in many embedded systems and mobile devices, such as cell phones, TV, and digital cameras, the buffer sizes are usually very small. A large buffer size means large space requirement and...
Properly designed context models can increase the compression gain. In this paper, we propose a new lossless image coding scheme with two proposed algorithms: nonlocal context modeling and adaptive prediction (NCMAP). Since structural self-similarity often exists in natural images, we use the probability to measure the similarity between the powers of prediction errors for the pixels to be coded....
In this paper, a new algorithm which adopts the techniques of double prediction and the Pareto probability model was applied to encode the DC term in the JPEG compression process. Conventionally, the DC term was encoded by differential coding, i.e., the difference of the DC values between the current block and the previous block. In this paper, we first use the DC terms of four adjacent blocks to...
This paper proposes joint-probability-based adaptive Golomb coding (JPBAGC) to improve the performances of the Golomb family of codes, including Golomb coding (GC), Golomb–Rice coding (GRC), exp-Golomb coding (EGC), and hybrid Golomb coding (HGC), for image compression. The Golomb family of codes is ideally suited to the processing of data with geometric distribution. Since it does not require a coding...
In this paper, two coding strategies are proposed to improve the coding efficiency of the JPEG2000 system. First, instead of using the embedded block coding with optimized truncation (EBCOT) scheme in all subbands, we apply the algorithm based on least square prediction in the LL part of the discrete wavelet transform domain. Moreover, in the LH, HL, and HH parts, instead of using the MQ coder and...
Coefficient scanning plays an important role in block-based image and video coding standards, such as JPEG, MPEG, and the latest H.264/AVC. In these coding standards, the zigzag scanning method is used for image / frame coding and the field scanning method is used for field coding. Although these scanning methods can achieve acceptable coding efficiency, they do not take the statistical properties...
With the fast development of multimedia, it is crucial to find the way to search image database effectively. The vector quantization (VQ) based image retrieval method is popular in recent years. In this paper, we propose the quadtree classified vector quantization (QCVQ) scheme to improve the VQ method by exploiting the visual importance of image blocks and using the edge information to describe the...
We propose a novel joint source-channel coding (JSCC) framework that jointly optimizes encoding modes of macroblocks and unequal error protection (UEP) of packets for error-resilient video transmission, and address the problem of source packet loss due to bit errors incurred in error-prone channels. In the proposed framework, we consider the source packet loss probability as a function of the encoding...
Wet paper coding is a technique that can be used to embed secrets into some specific pixels, called dry pixels, of a digital image. The fully exploiting modifications method (FEM) is a method applied to convey secrets securely from senders to receivers using a stego-image that is slightly modified from the original digital image. Based on FEM, before embedding, we randomly choose pixels in the image...
This paper proposes a novel data embedding method for embedding secrets into VQ indices by using the Chinese Remainder Theorem (CRT). In the experimental results, the hiding capacity is flexible which corresponds to the pre-defined prime parameters. In addition, a reversible mechanism is imported into the scheme so the original VQ indices can be restored after extracting secrets retrieval.
Data embedding is one of the important issues for securely conveying secrets from senders to receivers without arousing any notices to attackers. Wet paper coding (WPC) is one of the data embedding schemes which embeds secrets into a subset of pixels of an image. The pixels in the subset are also called dry pixels. Inspired by wet paper coding, a novel data embedding scheme with a magic matrix is...
This paper presents a reversible data embedding scheme with prediction and dissimilar techniques for palette-based images. Two embedding rules are imported in the proposed method, and no extra bit map is required to indicate which rules are applied in which pixels to embed secrets. As the experimental results show, when the hiding capacity is 255 Kb, the visual quality of the decoded image for our...
This paper proposes an invertible semi-fragile video watermarking algorithm using a hash function to authenticate the MPEG-4 video contents. The proposed algorithm embeds two watermarks into I frame while encoding YUV video to MPEG-4 format. One watermark using hash function aims to authenticate the contents and embed the frame number for manipulation location between frames, and the other one based...
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