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Improving a DWT-based compression algorithm for high image-quality requirement of satellite images

机译:改进基于DWT的压缩算法以满足卫星图像的高图像质量要求

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Past and current optical Earth observation systems designed by CNES are using a fixed-rate data compression processing performed at a high-rate in a pushbroom mode (also called scan-based mode). This process generates fixed-length data to the mass memory and data downlink is performed at a fixed rate too. Because of on-board memory limitations and high data rate processing needs, the rate allocation procedure is performed over a small image area called a "segment". For both PLEIADES compression algorithm and CCSDS Image Data Compression recommendation, this rate allocation is realised by truncating to the desired rate a hierarchical bitstream of coded and quantized wavelet coefficients for each segment. Because the quantisation induced by truncation of the bit planes description is the same for the whole segment, some parts of the segment have a poor image quality. These artefacts generally occur in low energy areas within a segment of higher level of energy. In order to locally correct these areas, CNES has studied "exceptional processing" targeted for DWT-based compression algorithms. According to a criteria computed for each part of the segment (called block), the wavelet coefficients can be amplified before bit-plane encoding. As usual Region of Interest handling, these multiplied coefficients will be processed earlier by the encoder than in the nominal case (without exceptional processing). The image quality improvement brought by the exceptional processing has been confirmed by visual image analysis and fidelity criteria. The complexity of the proposed improvement for on-board application has also been analysed.
机译:由CNES设计的过去和当前的光学地球观测系统都使用固定速率的数据压缩处理,以推扫模式(也称为基于扫描的模式)进行高速处理。该处理将固定长度的数据生成到大容量存储器,并且数据下行链路也以固定速率执行。由于板载内存限制和高数据速率处理需求,速率分配过程在称为“段”的小图像区域上执行。对于PLEIADES压缩算法和CCSDS图像数据压缩建议,通过将每个段的已编码和已量化小波系数的分层位流截断为所需速率,可以实现此速率分配。由于位平面描述的截断所引起的量化对于整个片段都是相同的,因此片段的某些部分的图像质量较差。这些伪像通常发生在高能段中的低能区域。为了局部纠正这些区域,CNES研究了针对基于DWT的压缩算法的“异常处理”。根据针对段(称为块)的每个部分计算的标准,可以在位平面编码之前放大小波系数。与通常的关注区域处理一样,编码器将比标称情况下更早地处理这些相乘系数(无特殊处理)。通过视觉图像分析和保真度标准,可以确认通过特殊处理带来的图像质量提高。还分析了建议的车载应用改进的复杂性。

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