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本文首先介绍了静态图像压缩（JPEG）编码算法的基本原理、压缩的实现过程及其重要过程的离散余弦变换（DCT）算法的实现原理及软件实现的例程，其次着重介绍了压缩过程中的DCT、量化和编码三个重要步骤的实现原理。-This paper describes the static image compression (JPEG) coding algorithm is the basic principle of compression process of the implementation pro
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第六章到第九章的代码
本书通过100多个模块实例，详细地讲解了Verilog HDL程序设计语言，全书共分13章，内容涉及VerilogHDL语言基本概念、建模、同步设计、异步设计、功能验证等，实例包括各种加法器/计数器、乘法器/除法器、编码器/译码器、状态机、SPIMaster Controller、I2C Master controller、CAN ProtocolController、Memory模块、JPEG图像压缩模块、加密模块、ATA控制器、8位RISC-CPU等及各个实例
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ARM汇编，实现DCT算法，图像压缩，JPEG
需要loadmemory，里面附带load文件示例以及样子图片，raw格式-ARM compilation and realizing DCT algorithm, image compression, JPEG need loadmemory, incidental load inside sample documents, as well as look like picture, raw format
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golomb编码，用于无损图像压缩等，基于quartusii平台。-golomb coding for lossless image compression, based on the platform quartusii.
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for DCT Image compression
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The 8x8 discrete cosine transform (DCT) is widely used in image compression algorithm because of its energy compaction for correlated image pixels.
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The 8x8 discrete cosine transform (DCT) is an efficient, real-valued transform often used in image
compression. Special, fast algorithms for the DCT have been developed to accommodate the many
arithmetic operations involved in implementing the DC
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基于FPGA的图像压缩算法程序，自己写的，可以参考一下-FPGA-based image compression algorithm, write your own, you can refer to
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8 point approximate dct for image compression the purpose compression algorithm
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DCT变换方法，并讨论了应用MATLAB中的图像处理工具箱中的相关函数和命令来实现离散余弦变换的图像压缩算法的仿真。-DCT transformation method, and discusses application MATLAB image processing toolbox related functions and commands to achieve discrete cosine transform image compression algorithm simulation
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8x8 DCT architecture for image compression
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