DCT coding for motion video storage using adaptive arithmetic coding

Gonzales, C. A.; Allman, L.; McCarthy, Tim; Wendt, Peter; Akansu, Ali N.

doi:10.1016/0923-5965(90)90017-c

Cited by 26 publications

(8 citation statements)

References 4 publications

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“…Also, for most images, the main characteristics of the DCT coefficients in one block have high correlation with the adjacent blocks. Gonzales et al [3] described a technique which estimates the first five AC coefficients precisely. In this method, DC values of a 3 × 3 neighborhood of blocks are used to estimate the AC coefficients for the center block.…”

Section: Eurasip Journal On Advances In Signal Processingmentioning

confidence: 99%

“…Since the DCT coefficients in one block for most images have a high correlation with the adjacent blocks; Gonzales et al in [3] described a technique which estimates a few low-frequency AC coefficients precisely. Moreover, only the DC values of 3 × 3 neighborhoods of each central block are needed to estimate the AC coefficients of each central block as shown in Figure 6.…”

Section: Watermark Creationmentioning

confidence: 99%

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A New Robust Watermarking Scheme to Increase Image Security

Rahmani

Mortezaei

Moghaddam

2010

EURASIP J. Adv. Signal Process.

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In digital image watermarking, an image is embedded into a picture for a variety of purposes such as captioning and copyright protection. In this paper, a robust private watermarking scheme for embedding a gray-scale watermark is proposed. In the proposed method, the watermark and original image are processed by applying blockwise DCT. Also, a Dynamic Fuzzy Inference System (DFIS) is used to identify the best place for watermark insertion by approximating the relationship established between the properties of HVS model. In the insertion phase, the DC coefficients of the original image are modified according to DC value of watermark and output of Fuzzy System. In the experiment phase, the CheckMark (StirMark MATLAB) software was used to verify the method robustness by applying several conventional attacks on the watermarked image. The results showed that the proposed scheme provided high image quality while it was robust against various attacks, such as Compression, Filtering, additive Noise, Cropping, Scaling, Changing aspect ratio, Copy attack, and Composite attack in comparison with related methods.

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Section: Eurasip Journal On Advances In Signal Processingmentioning

confidence: 99%

Section: Watermark Creationmentioning

confidence: 99%

A New Robust Watermarking Scheme to Increase Image Security

Rahmani

Mortezaei

Moghaddam

2010

EURASIP J. Adv. Signal Process.

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“…Coarse quantization of the transform coefficients results in various artifacts in the decoded image, including loss of detail, introduction of noise, and blockiness. Methods for reducing the block-artifacts in transform coding of images have been extensively studied [3]- [5]. However, these enhancement techniques proposed for transform decoders mitigate the blockartifacts only in smooth areas of the image, and are based on the conventional transform decoding model.…”

Section: Transform Codingmentioning

confidence: 99%

Additive vector decoding of transform coded images

Gersho²

1998

IEEE Trans. on Image Process.

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In a standard transform coding scheme of images or video, the decoder can be implemented by a table-lookup technique without the explicit use of an inverse transformation, In this new decoding method, each received code index of a transform coefficient addresses a particular codebook to fetch a component code vector that resembles the basis vector of the linear transformation. The output image is then reconstructed by summing a small number of nonzero component code vectors. With a set of well-designed codebooks, this new decoder can exploit the correlation among the quantized transform coefficients to achieve better rate-distortion performance than the conventional decoding method. An iterative algorithm for designing a set of locally optimal codebooks from a training set of images is presented. We demonstrate that this new idea can be applied to decode improved quality pictures from the bitstream generated from a standard encoding scheme of still images or video, while the complexity is low enough to justify practical implementation.

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“…There are many algorithms which reduce the block effect. One of them is AC correction in the DCT domain [2]. In this algorithm, the lost AC coefficients are predicted using the DC values of neighboring blocks.…”

Section: Introductionmentioning

confidence: 99%

<title>Block effect reduction for the two-layer video codec based on MPEG-2</title>

Shin

Choi

1998

SPIE Proceedings

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In this paper, we describe the two-layer video codec based on MPEG-2 and its layering algorithms, where we exploit the property that the human visual system is more sensitive to low frequency coefficients than high frequency coefficients in the DCT domain. We propose a new block effect reduction algorithm, called content-based AC correction, which predicts A C coefficients considering the image content itself in the DCT domain; Because the block effect occurs in a block which has few AC coefficients in DCT domain. First, this algorithm detects which block has a block effect. Secondly, this algorithm detects if a block is located near the edge or a boundary of video object. If the block is located near any edge or boundary, a new AC correction algorithm is used. Otherwise, the traditional AC correction algorithm is used.

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DCT coding for motion video storage using adaptive arithmetic coding

Cited by 26 publications

References 4 publications

A New Robust Watermarking Scheme to Increase Image Security

A New Robust Watermarking Scheme to Increase Image Security

Additive vector decoding of transform coded images

<title>Block effect reduction for the two-layer video codec based on MPEG-2</title>

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