摘要 :
The lossless (reversible) discrete cosine transform (DCT) is a very useful transform because it can realize easily an unified lossy/lossless image coding with a compatibility with conventional scheme such as MPEG and MPEG But on c...
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The lossless (reversible) discrete cosine transform (DCT) is a very useful transform because it can realize easily an unified lossy/lossless image coding with a compatibility with conventional scheme such as MPEG and MPEG But on conventional transform coding based on lossless DCT, its compression performance at high-bit rate coding is poorer at high-bit rate coding and it can't ensure the quantity of the maximum error of recovered image. We propose a new transform coding based on lossless DCT in this report Proposed method can solve the problem in conventional method.
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摘要 :
The lossless (reversible) discrete cosine transform (DCT) is a very useful transform because it can realize easily an unified lossy/lossless image coding with a compatibility with conventional scheme such as MPEG and MPEG But on c...
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The lossless (reversible) discrete cosine transform (DCT) is a very useful transform because it can realize easily an unified lossy/lossless image coding with a compatibility with conventional scheme such as MPEG and MPEG But on conventional transform coding based on lossless DCT, its compression performance at high-bit rate coding is poorer at high-bit rate coding and it can't ensure the quantity of the maximum error of recovered image. We propose a new transform coding based on lossless DCT in this report Proposed method can solve the problem in conventional method.
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摘要 :
Efficient lossless coding of a texture image and its corresponding depth map is important to perform accurate view synthesis in 3D applications. In this paper, a novel HEVC-based three-layer texture and depth coding method is prop...
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Efficient lossless coding of a texture image and its corresponding depth map is important to perform accurate view synthesis in 3D applications. In this paper, a novel HEVC-based three-layer texture and depth coding method is proposed for lossless synthesis in 3D video coding. The proposed method performs lossy and lossless texture coding in the first and second layers, respectively. A quantization parameter (QP) in the first lossy coding layer is adaptively selected for each block, based on a relationship between the first and second layers. In the third layer, the lossy depth coding is performed by using synthesis-based depth coding and texture-based depth intra prediction mode. The synthesis-based depth coding technique adopts the lossy coding but guarantees zero synthesis distortion. The texture-based depth intra prediction mode performs the depth prediction by using the associated texture information. Experimental results demonstrate that the proposed method obtains higher coding performance than conventional lossless coding methods.
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摘要 :
Two types of new hierarchical image coding methods are proposed in this paper. For the quick editing of videos/images, the one type of the proposed methods separates the input image into two parts: One is the rate-controlled part,...
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Two types of new hierarchical image coding methods are proposed in this paper. For the quick editing of videos/images, the one type of the proposed methods separates the input image into two parts: One is the rate-controlled part, and the other is the lossless part. The other type is efficient for the improvement of efficiency of the lossless coding in 're-editing' by the conditioning on the transform used in the encoder. Rate control in the sense that the amount of data after coding can be estimated is possible for this type. To verify the efficiency of the proposed methods, we provide some simulations. From the simulations, it is shown that the proposed methods are useful in the editing compared with the coding methods which are not hierarchical.
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摘要 :
Two types of new hierarchical image coding methods are proposed in this paper. For the quick editing of videos/images, the one type of the proposed methods separates the input image into two parts: One is the rate-controlled part,...
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Two types of new hierarchical image coding methods are proposed in this paper. For the quick editing of videos/images, the one type of the proposed methods separates the input image into two parts: One is the rate-controlled part, and the other is the lossless part. The other type is efficient for the improvement of efficiency of the lossless coding in 're-editing' by the conditioning on the transform used in the encoder. Rate control in the sense that the amount of data after coding can be estimated is possible for this type. To verify the efficiency of the proposed methods, we provide some simulations. From the simulations, it is shown that the proposed methods are useful in the editing compared with the coding methods which are not hierarchical.
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摘要 :
Two types of new hierarchical image coding methods are proposed in this paper. For the quick editing of videos/images, the one type of the proposed methods separates the input image into two parts: One is the rate-controlled part,...
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Two types of new hierarchical image coding methods are proposed in this paper. For the quick editing of videos/images, the one type of the proposed methods separates the input image into two parts: One is the rate-controlled part, and the other is the lossless part. The other type is efficient for the improvement of efficiency of the lossless coding in 're-editing' by the conditioning on the transform used in the encoder. Rate control in the sense that the amount of data after coding can be estimated is possible for this type. To verify the efficiency of the proposed methods, we provide some simulations. From the simulations, it is shown that the proposed methods are useful in the editing compared with the coding methods which are not hierarchical.
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摘要 :
Since the lossless DCT is compatible with JPEG or MPEG, it is expected to play an important role in the unified lossless/lossy image coding. However, there is a problem that the difference between transform coefficients of the los...
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Since the lossless DCT is compatible with JPEG or MPEG, it is expected to play an important role in the unified lossless/lossy image coding. However, there is a problem that the difference between transform coefficients of the lossless DCT and those of the lossy (conventional) DCT is not small, when the same image is an input. Therefore, in this paper, we will design a two dimensional lossless DCT based on two dimensional 4-point lossless WHT and indicate that the number of rounding off in ladder circuit becomes smaller than that of one dimensional lossless DCTs and, therefore, the difference between transform coefficients of the two dimensional lossless DCT and those of the lossy DCT becomes small. We will also design two dimensional 8×8-point lossless WHT and indicate that the compatibility with the lossy WHT is high and that the number of multiplication is zero.
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摘要 :
Since the lossless DCT is compatible with JPEG or MPEG, it is expected to play an important role in the unified lossless/lossy image coding. However, there is a problem that the difference between transform coefficients of the los...
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Since the lossless DCT is compatible with JPEG or MPEG, it is expected to play an important role in the unified lossless/lossy image coding. However, there is a problem that the difference between transform coefficients of the lossless DCT and those of the lossy (conventional) DCT is not small, when the same image is an input. Therefore, in this paper, we will design a two dimensional lossless DCT based on two dimensional 4-point lossless WHT and indicate that the number of rounding off in ladder circuit becomes smaller than that of one dimensional lossless DCTs and, therefore, the difference between transform coefficients of the two dimensional lossless DCT and those of the lossy DCT becomes small. We will also design two dimensional 8×8-point lossless WHT and indicate that the compatibility with the lossy WHT is high and that the number of multiplication is zero.
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摘要 :
Since the lossless DCT is compatible with JPEG or MPEG, it is expected to play an important role in the unified lossless/lossy image coding. However, there is a problem that the difference between transform coefficients of the los...
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Since the lossless DCT is compatible with JPEG or MPEG, it is expected to play an important role in the unified lossless/lossy image coding. However, there is a problem that the difference between transform coefficients of the lossless DCT and those of the lossy (conventional) DCT is not small, when the same image is an input. Therefore, in this paper, we will design a two dimensional lossless DCT based on two dimensional 4-point lossless WHT and indicate that the number of rounding off in ladder circuit becomes smaller than that of one dimensional lossless DCTs and, therefore, the difference between transform coefficients of the two dimensional lossless DCT and those of the lossy DCT becomes small. We will also design two dimensional 8×8-point lossless WHT and indicate that the compatibility with the lossy WHT is high and that the number of multiplication is zero.
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摘要 :
We introduce a new lossless coding method for gray scale images based on hierarchical sort. Hierarchical sort is a sorting algorithm for image codings using block segmentation and it makes code size of predictive coding in each bl...
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We introduce a new lossless coding method for gray scale images based on hierarchical sort. Hierarchical sort is a sorting algorithm for image codings using block segmentation and it makes code size of predictive coding in each block compact. Comparison using experimental implementation of the method shows better compression ratio than conventional methods for high resolution images and highly correlated image set such as X ray CT images. This method supports progressive decoding and fast preview of large image.
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