We present image compression method based on block palletizing. Image block is partitioned into four subsets, and each subset is palletized by 2 or 4 colors from the quasioptimal local palette, constructed for the whole block. Index map for the whole block, being the union of index maps for subsets, is thus only 1 or 2 bits deep, while the local palette may consist of 8 or even 16 colors. The local palette has a specific geometrical configuration in RGB color space, determined by only 2 colors. These two colors are stored explicitly, and the rest are reconstructed at the decompression stage. Compressed block consists, essentially, of the index map, palette description and partition description. This format allows fast access to randomly chosen pixels, and high reconstruction quality for compression ratios from 8 to 12, which is useful for texture storage in 3D graphics applications where real-time decompression is crucial.
我们提出了基于块码垛的图像压缩方法。图像块被分为四个子集,每个子集都由为整个块构造的准最佳局部调色板中的2或4种颜色堆垛。因此,整个块的索引图(作为子集索引图的并集)只有1或2位深,而局部调色板可能包含8种甚至16种颜色。本地调色板在RGB颜色空间中具有特定的几何配置,仅由2种颜色确定。这两种颜色是显式存储的,其余颜色则在减压阶段进行重建。压缩块实质上由索引映射,选项板描述和分区描述组成。这种格式允许快速访问随机选择的像素,并具有从8到12的压缩比的高重建质量,这对于实时解压缩 I>至关重要的3D图形应用中的纹理存储很有用。 P >
机译:基于形状辅助块的纹理编码的形状自适应区域划分方法
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