image compression信息详情
影像压缩,[计]图像压缩
compression spring───压缩[压紧]弹簧;[机]压缩弹簧
compression stockings───压缩丝袜
compression test───[力]抗压试验;[试验]耐压缩试验;压力试验; 压缩试验; 抗压强度试验; 抗压试验
chest compression───胸外按压
compression fracture───受压骨折;压缩断裂;压缩骨折
compression pants───紧身裤
asphyxial compression───窒息性压迫
image───n.影像;想象;肖像;偶像;n.(Image)人名;(法)伊马热;vt.想象;反映;象征;作…的像
unconfined compression───无侧限抗压强度;无侧限压缩
Image compression is very to solve this problem.───图像压缩就是要解决这个问题。
A new scheme for image compression coding is proposed.───提出了一种新的图像压缩编码方案。
Image compression quality is not very good.───图像的压缩质量不是很好。
However, the long coding time of this method becomes the main problem for the fractal image compression to be efficient and utilizable.───分形图像编码速度慢的最主要原因是搜索最佳匹配的定义域块耗时太多。
The experimental results show that this algorithm is superior to the zero tree wavelet image compression algorithm.───试验结果表明,该算法要优于零树小波图像压缩编码算法。
We note that the technique is applicable to any image compression method which employs discrete cosine transforms and quantization.───我们注意到,该技术适用于任何的图像压缩方法,采用离散余弦变换和量化。
Image compression is always a critical technology in the image area and is also a hotspot in research area.───图像压缩技术一直是图像处理领域的一门关键技术,也一直是研究的热点。
The result of the experiment proved that the JPEG2000 image compression coding scheme designed in this subject is practical.───实验结果表明,本课题所设计的JPEG2000图像压缩编码方案是可行的。
As one of the key technologies of image storage and transmission, image compression encoding has been the hotspot in image processing field.───图像压缩编码作为图像存储和传输的关键技术,一直是图像处理技术研究的热点。
The statistical characteristic is the key to image compression.
Fractal image coding is a very promising image compression technique.
These years, Image compression becomes a hotspot of data compression.
Major recent developments of stereo image compression are reviewed.
Image compression, Wavelets transform, Zerotree coding, Resilient, Image transmission.
Walsh transform used for color image compression and decompression.
Discrete Wavelet Transform and image compression.
The Counterpropagation Network(CPN) can be applied to image compression as a vector quantizer. However, the CPN learning algorithm has two obvious disadvantages in codebook designing.
Discrete Cosine Transform and image compression.
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