目前現有的太空影像壓縮標準CCSDS所能提供的服務有限，僅有固定倍率的失真或無失真壓縮，在本論文中，我們提出了一個近乎無失真的帶狀衛星影像壓縮法，在不改變原本太空影像壓縮標準CCSDS的情況下，我們加了前處理量化器，先改變了原影像的熵，再將量化後的影像用無失真CCSDS壓縮，為了確保經壓縮過後的影像都能維持在視覺上的近乎無失真，解碼後的影像與原影像的誤差值必須控制在±δ以下，所提出的編碼使用固定的記憶體，且其壓縮後的結果都能呈現近乎無失真的影像品質。

For compression in space data, there is a standard called Consultative Committee for Space Data System (CCSDS) [1]. The original CCSDS only provides users to select the bit rate of compression, whether lossless or lossy. In this thesis, we perform a near-lossless strip-based satellite image compression method. Without modifying the core of CCSDS, we add a pre-quantizer in order to reduce the entropy of an image in spatial domain and then fed it into CCSDS as an input in lossless mode. The difference between decoded and original images is bounded in ±δ to make sure the output images are visually near-lossless. Experimental results show that our proposed method compresses with limited memory and the compression results still retain near-lossless.

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