Matlab帧内/帧间预测

IntraFrame是作业section1的执行m文件，调用函数IntraPrediction。 生成的图示Recf00.tif 是对foreman00的帧内预测 得到的数据是 psnr = 57.0562 此外 会显示每个8*8块用的哪种预测模式 ----------------------------------------------------------------------- MotionEstimation是section2的执行m文件 题目中给了两个算法可选 在m文件的27-30行 通过%选择使用的算法（FSBMA或者ThreeStep） 题目要求 R=16时 FSBMA和ThreeStep分别的 每帧时间以及每帧PSNB 数据如下 FSBMA AverTime = 7.5192 PSNR = Columns 1 through 9 35.6592 35.8056 35.7074 35.6407 35.5798 35.5012 35.3466 35.2063 34.9802 Columns 10 through 18 34.7603 34.6146 34.6431 34.6922 34.8142 34.9996 34.9355 35.0914 34.8538 Columns 19 through 27 34.5643 34.6498 34.6944 34.7112 34.7546 34.4774 34.4150 34.2394 34.1570 Columns 28 through 30 34.2667 34.7407 35.0361 对于Three Step AverTime = 0.5574 PSNR = Columns 1 through 9 35.5208 35.4613 35.2899 35.0998 35.0186 35.0467 34.9617 34.7869 34.5818 Columns 10 through 18 34.4607 34.2171 34.1425 34.0622 34.2070 34.4040 34.5041 34.5391 34.2193 Columns 19 through 27 34.0691 34.1542 34.1666 34.1145 34.0883 34.0042 33.9176 33.8507 33.8209 Columns 28 through 30 34.0203 34.4021 34.6036 -------------此外，section2第三个要求是比较R=8时的数据，R的数值通过第3行修改 对于FSBMA AverTime = 2.9003 PSNR = Columns 1 through 9 35.5907 35.7147 35.6442 35.5576 35.5374 35.4280 35.3205 35.1488 34.8891 Columns 10 through 18 34.7349 34.5880 34.5624 34.5293 34.4801 34.7441 34.7875 34.7803 34.5039 Columns 19 through 27 34.2882 34.3975 34.4139 34.4238 34.3428 34.1201 33.9094 33.8116 33.6947 Columns 28 through 30 33.6672 33.8820 34.1798 对于ThreeStep AverTime = 0.6008 PSNR = Columns 1 through 9 35.5291 35.5688 35.4320 35.1804 35.1094 35.0068 34.9929 34.7878 34.5026 Columns 10 through 18 34.4165 34.2171 34.1615 34.0710 34.0562 34.2928 34.2869 34.2997 34.1387 Columns 19 through 27 33.9798 34.0834 34.0898 34.1691 34.1148 33.8246 33.7148 33.5482 33.4880 Columns 28 through 30 33.5012 33.6351 33.7689 ----------------------------------------------------- 生成的各种图片命名如下 R（算法名称）RecF（标号）.tif 例如 8ThreeStepRecF01.tif