共查询到20条相似文献,搜索用时 203 毫秒
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介绍了一些有关DCT及其快速算法的关键技术,提出了六角变换方法及其应用于视频编码的近似整数实现.实验结果表明,六角变换方法不仅具有相比浮点DCT实现复杂度低、解码端无误差累积的优点,而且能提供相比其他整数近似变换更高的视频编码效率. 相似文献
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基于小波变换的多级矢量量化图像编码算法 总被引:2,自引:0,他引:2
结合小波变换中多分辨率分析特性以及多级矢量量化复杂度低、量化效果较好的特点提出了一种基于小波变换的多级矢量量化图像编码方法。在使用多级量化的基础上采用联合优化多级矢量量化的码本设计方法,进一步提升量化效果。试验数据表明,该方法相对于传统的矢量量化算法,量化效果进一步提高,复杂度也在可接受范围之内,达到了很好的压缩编码效果。 相似文献
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H.264整数DCT变换算法有助于减少计算复杂度,提高编码速度,进一步提高视频或图像的压缩效率。分析H.264整数DCT变换的快速算法及其实现原理,并提出一种用来具体实现一个4×4块的DCT变换的结构;同时给出用VHDL语言实现4×4块DCT变换的内部模块的源代码和仿真波形。仿真结果表明用该算法可快速实现一个4×4块的整数DCT变换。提出一种切实可行的用于H.264整数DCT变换的结构,该结构可完全用硬件电路快速实现;对于用FPGA实现H.264整数DCT变换做了一次实践性的尝试,对深入理解H.264整数DCT变换及其算法的具体实现具有一定的实践意义。 相似文献
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A fast and low memory image coding algorithm based on lifting wavelet transform and modified SPIHT 总被引:1,自引:0,他引:1
Due to its excellent rate–distortion performance, set partitioning in hierarchical trees (SPIHT) has become the state-of-the-art algorithm for image compression. However, the algorithm does not fully provide the desired features of progressive transmission, spatial scalability and optimal visual quality, at very low bit rate coding. Furthermore, the use of three linked lists for recording the coordinates of wavelet coefficients and tree sets during the coding process becomes the bottleneck of a fast implementation of the SPIHT. In this paper, we propose a listless modified SPIHT (LMSPIHT) approach, which is a fast and low memory image coding algorithm based on the lifting wavelet transform. The LMSPIHT jointly considers the advantages of progressive transmission, spatial scalability, and incorporates human visual system (HVS) characteristics in the coding scheme; thus it outperforms the traditional SPIHT algorithm at low bit rate coding. Compared with the SPIHT algorithm, LMSPIHT provides a better compression performance and a superior perceptual performance with low coding complexity. The compression efficiency of LMSPIHT comes from three aspects. The lifting scheme lowers the number of arithmetic operations of the wavelet transform. Moreover, a significance reordering of the modified SPIHT ensures that it codes more significant information belonging to the lower frequency bands earlier in the bit stream than that of the SPIHT to better exploit the energy compaction of the wavelet coefficients. HVS characteristics are employed to improve the perceptual quality of the compressed image by placing more coding artifacts in the less visually significant regions of the image. Finally, a listless implementation structure further reduces the amount of memory and improves the speed of compression by more than 51% for a 512×512 image, as compared with that of the SPIHT algorithm. 相似文献
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A low complexity shape-adaptive DCT transform algorithm for coding pels in arbitrarily shaped image segments is presented. The proposed algorithm is compared to the well established generalized shape-adaptive transform method introduced by Gilge et al. in terms of transform efficiency and computational complexity. Results obtained under both theoretical and experimental conditions show that the new algorithm achieves a transform efficiency close to that of the Gilge method with considerably reduced computational complexity. The proposed shape-adaptive DCT algorithm was implemented into a standard MPEG-1 coder to provide object or segment based coding of images and video with additional content-based functionality. The extended MPEG-1 object based coding scheme can handle generic input sequences and can readily provide MPEG-1 backward compatibility if no contour data is transmitted for a given video sequence. Results for INTRA coding of images indicate that the algorithm allows efficient coding over a wide range of coding parameters — thus providing means for generic coding of segmented video between very high and very low bit rates. It is further shown that some of the content-based based functionalities currently discussed in MPEG-4 can be provided efficiently using the proposed object based coding scheme. 相似文献
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提出了一种基于平滑双正交小波和自适应分割算法的小波域分形图像编码算法,在基于离散有限方差(DFV)最优准则下得到了适合图像编码的一种新的平滑双正交小波,从而改善了分块效应。在小波域的分形编码中,提出了一种基于图像信息分布特征的自适应分割算法,实验表明,该文算法在相同压缩比的情况下,解码图像的主观视觉质量和峰值信噪比都明显优于SQS方法、基本分形图像编码方法和SPIHT方法。 相似文献
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针对当前基于DNA编码运算的图像加密算法复杂度和安全性较低的问题,提出一种图像分块加密算法.利用Lo-gistic混沌映射产生与明文图像大小相同的随机矩阵,然后对明文图像和随机矩阵进行分块,每个子块的DNA编解码方式以及相互之间的DNA运算均由Chen超混沌系统产生的混沌序列动态决定,同时引入密文反馈机制,使算法得到更好的扩散效果.此外,算法的密钥由明文图像生成,实现了一次一密的加密.仿真实验结果和分析表明加密效果良好,算法利用了DNA可选择编码方式和运算操作丰富的特点,具有较高的复杂度和安全性,密钥空间大,能抵抗多种攻击. 相似文献
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The wireless sensor network utilizes image compression algorithms like JPEG, JPEG2000, and SPIHT for image transmission with high coding efficiency. During compression, discrete cosine transform (DCT)–based JPEG has blocking artifacts at low bit-rates. But this effect is reduced by discrete wavelet transform (DWT)–based JPEG2000 and SPIHT algorithm but it possess high computational complexity. This paper proposes an efficient lapped biorthogonal transform (LBT)–based low-complexity zerotree codec (LZC), an entropy coder for image coding algorithm to achieve high compression. The LBT-LZC algorithm yields high compression, better visual quality with low computational complexity. The performance of the proposed method is compared with other popular coding schemes based on LBT, DCT and wavelet transforms. The simulation results reveal that the proposed algorithm reduces the blocking artifacts and achieves high compression. Besides, it is analyzed for noise resilience. 相似文献
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基于区域增长的遥感影像视觉显著目标快速检测 总被引:4,自引:3,他引:4
针对传统视觉注意模型在遥感影像视觉显著区域检测中存在的计算复杂度高、检测精度低等缺点,提出了一种新的视觉显著区域快速检测算法。首先利用整数小波变换降低遥感影像的空间分辨率,从而降低视觉注意焦点检测的计算复杂度;然后在视觉特征融合中引入二维离散矩变换,生成边缘与纹理信息更为丰富的遥感影像显著图;最后在显著图分析中提出区域增长策略来获得视觉显著区域的精确轮廓。实验结果表明,新算法不仅有效降低了遥感影像视觉显著区域检测的计算复杂度,而且能够精确描述视觉显著区域的轮廓信息,同时避免了对整幅遥感影像的分割与特征提取,为今后的遥感影像目标检测提供了一定地参考价值。 相似文献