Description: JPEG2000是以小波变换为基础，充分利用了小波变换的优点，既可以实现有损压缩，又可以实现无损压缩，具有丰富的功能-JPEG2000 is a wavelet transform based on full use of the advantages of wavelet transform, we can achieve lossy compression and lossless compression can be achieved with rich functionality Platform: |
Size: 1416192 |
Author:jason |
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Description: JPEG 2000正式名称为ISO 15444，是一种基于离散小波变换的新型图像压缩方法，与基于离散余弦变换的JPEG压缩方法相比较，具有多分辨率表达、更好的去相关能力、高压缩比、按视觉模型量化等优点，并同时提供无损和有损压缩算法-JPEG 2000 is formally known as ISO 15444, is a discrete wavelet transform based on a new type of image compression methods, and based on the discrete cosine transform JPEG compression method, compared with the expression of multi-resolution, better related to ability, high compression ratio, by the visual model to quantify the advantages, as well as providing lossless and lossy compression algorithms Platform: |
Size: 762880 |
Author:zhenzhen |
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Description: This paper presents a steganography method based on an embedded zerotree wavelet compression scheme and bitplane
complexity segmentation steganography.The proposed steganography enables us to use lossy compressed images
as dummy files in bit-plane-based steganographic algorithms.Large embedding rates of around 25 of the compressed
image size were achieved with little noticeable degradation in image quality-This paper presents a steganography method based on an embedded zerotree wavelet compression scheme and bitplane
complexity segmentation steganography.The proposed steganography enables us to use lossy compressed images
as dummy files in bit-plane-based steganographic algorithms.Large embedding rates of around 25 of the compressed
image size were achieved with little noticeable degradation in image quality Platform: |
Size: 346112 |
Author:mat7755 |
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Description: 基于人眼视觉模型的双正交小波变换算法，通过实验验证,该算法在对嵌入水印后的图像进行有损压缩、剪切、污染、添加各种噪声等处理后,提取出的水印仍表现出了较好的鲁棒性。-Human visual model based on biorthogonal wavelet transform algorithm, experiments show that the algorithm of the watermarked image lossy compression, shear, pollution, after adding all kinds of noise, the performance of the extracted watermark is still a good robustness. Platform: |
Size: 352256 |
Author:rhyme |
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Description: EZW (Embedded Zerotrees of Wavelet Transforms) is a lossy image compression algorithm. At low bit rates (i.e. high compression ratios) most of the coefficients produced by a subband transform (such as the wavelet transform) will be zero, or very close to zero. This occurs because "real world" images tend to contain mostly low frequency information (highly correlated). However where high frequency information does occur (such as edges in the image) this is particularly important in terms of human perception of the image quality, and thus must be represented accurately in any high quality coding scheme.
Platform: |
Size: 16384 |
Author:vishnu |
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Description: Abstract—In this paper, a new lossy technique based on wavelet
transform for compression of breast ultrasound images is
presented. The experiments are performed on 16 different
wavelet functions and the quality of reconstructed images is
evaluated by using Compression Ratio (CR), Normalized Mean
Square Error (NMSE), Normalized Absolute Error (NAE), and
Peak Signal to Noise Ratio (PSNR) criterion. An
ultrasonographer performed the subjective assessment. This
study shows that among the utilized wavelets, Platform: |
Size: 3209216 |
Author:kum |
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Description: mbedded Zerotrees of Wavelet transforms (EZW) is a lossy image compression algorithm. At low bit rates, i.e. high compression ratios, most of the coefficients produced by a subband transform (such as the wavelet transform) will be zero, or very close to zero. This occurs because "real world" images tend to contain mostly low frequency information (highly correlated). The locations where high frequency information does occur (such as edges in the image) this is particularly important in terms of human perception of the image quality, and thus must be represented accurately in any high quality coding scheme. Platform: |
Size: 864256 |
Author:selvakumar |
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Description: Speech Based Watermarking for Digital Images
This paper presents a novel scheme of
watermarking of digital images for copyright protection and
authentication. In this paper we proposed a method of
embedding owner’s speech signal. Speech being a biometric data,
the watermark signal in this method is expected to be more
meaningful and has closer correlation with copyright holder.
The main issue of concern here is the capacity because the speech
data has large number of samples. Linear predictive coding is
used to encode the audio data. Here, speech samples are
imperceptibly inserted using spread spectrum technique into the
mid frequency band of wavelet transform of image which makes
it robust to lossy compression. Applications for such a speechhiding
scheme include copy protection, authentication and covert
communication. Platform: |
Size: 195584 |
Author:Nayan Patel |
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Description: In this paper we proposed a method of
embedding owner’s speech signal. Speech being a biometric data,
the watermark signal in this method is expected to be more
meaningful and has closer correlation with copyright holder.
The main issue of concern here is the capacity because the speech
data has large number of samples. Linear predictive coding is
used to encode the audio data. Here, speech samples are
imperceptibly inserted using spread spectrum technique into the
mid frequency band of wavelet transform of image which makes
it robust to lossy compression. Applications for such a speechhiding
scheme include copy protection, authentication and covert
communication. Platform: |
Size: 1614848 |
Author:Nayan Patel |
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Description: a new hybrid transform coding methodology for
lossy image compression that integrates discrete wavelet
transform, discrete cosine Transform and singular value
decomposition methods is proposed. The proposed system has
enhancements in both the compression ratio and the
computational time. Platform: |
Size: 399360 |
Author:hiyam
|
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