Vertaling van "lossless data compression" in Chinees
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无损数据压缩
Arithmetic coding is a form of entropy encoding used in lossless data compression.
算术编码 是一种无损数据压缩 方法,也是一种熵编码 的方法。
Most raw formats implement lossless data compression to reduce the size of the files without affecting image quality. But some others use lossy data compression where quantization and filtering is performed on the image's lossy 11+7 bit delta compression of raw data causes posterization under certain conditions. Several Nikon cameras let photographers choose between no compression, lossless compression or lossy compression for their raw images.
The PNG format is a raster graphics file format that supports lossless data compression, when you convert your image file to PNG with our above tool, the final quality result will depends on your original uploaded files.
LZ4 is a lossless data compression algorithm that is focused on compression and decompression speed.
LZ4是一种无损数据压缩算法,着重于压缩和解压缩速度。
(Information technology - Adaptive lossless data compression algorithm (ALDC))
信息技术.自动无损数据压缩算法
The version of Brotli released in September 2015 by the Google software engineers contained enhancements in generic lossless data compression, with particular emphasis on use for HTTP compression.
Portable Network Graphics is a raster graphics file format that supports lossless data compression. PNG is the most used lossless image compression format on the Internet. PNG was designed for transferring images on the Internet, not for professional-quality print graphics, and therefore does not support non-RGB color spaces such as CMYK.
The gzip compressor is based on the DEFLATE lossless data compression algorithm, which uses a combination of the LZ77 algorithm and Huffman coding.
gzip压缩器基于DEFLATE无损数据压缩算法,它使用LZ77算法和Huffman编码的组合。
space data and information transfer systems - Data systems - Lossless data compression
航天数据和信息传递系统.数据系统.无损数据压缩
RLE is Run Length Encoding, lossless data compression in bmp format to decrease the file size.
RLE是游程编码算法, 无损压缩bmp格式下的数据以缩减文件的大小。
It is based on four key concepts: first, it should be a discrete wavelet transform or hierarchical subband decomposition; second, it should predict the absence of significant information when exploring the self-similarity inherent in images; third, it has entropy-coded successive-approximation quantization, and fourth, it is enabled to achieve universal lossless data compression via adaptive arithmetic coding.
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