参考文章

• 有压缩格式的Bitmap(BMP)图像显示调色板数据和图像数据
• Bitmap(BMP)图像信息分析主要说明带压缩的形式
• Bitmap(BMP)图像信息验证

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一、调色板数据

Color Palette Table Info ==> Start:54    Size:688   Group:172
-------------------------------------------Color Palette Table(ARGB)--------------------------------------------00        01        02        03        04        05        06        07        08        09
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00000000    00FF0000  00FB0000  00F80000  00F70000  00F60000  00F50000  00F40000  00F30000  00F20000  00F10000
00000010    00EB0000  00E50000  00DF0000  00DC0000  00DB0000  00D70000  00D50000  00D30000  00D20000  00D10000
00000020    00CE0000  00C90000  00C80000  00C50000  00C40000  00C00000  00BF0000  00BE0000  00B80000  00B70000
00000030    00B60000  00B30000  00B10000  00AE0000  00AA0000  00A70000  00A40000  009F0000  009A0000  00990000
00000040    00980000  008F0000  008B0000  008A0000  00880000  00870000  00850000  00840000  00800000  00770101
00000050    00750101  00740101  00710101  006F0101  006E0101  006C0101  006A0101  00690101  00680101  00670101
00000060    00660101  00630101  005F0101  005B0101  005A0101  00530101  00510101  004B0101  00440101  00420101
00000070    00410101  003E0101  003B0101  00390101  00380101  00370101  00350101  00340101  00330101  00310101
00000080    002F0101  002D0101  002B0101  002A0101  00290101  00280101  00260101  00250101  00220101  00200101
00000090    001E0101  001C0101  001B0101  001A0101  00190101  00170101  00160101  00150101  00140101  00130101
00000100    00120101  00110101  00100101  000E0101  000D0101  000C0101  000B0101  00090101  00080101  00070101
00000110    00060101  00040101  00020101  00FFFFFF  00F6F6F6  00F3F3F3  00EDEDED  00ECECEC  00E6E6E6  00DADADA
00000120    00D9D9D9  00D6D6D6  00D0D0D0  00C0C0C0  00BEBEBE  00B8B8B8  00AFAFAF  00AEAEAE  00A9A9A9  00A5A5A5
00000130    00989898  008C8C8C  00878787  007F7F7F  007B7B7B  00767676  00757575  00737373  006E6E6E  00686868
00000140    00676767  00616161  00595959  00515151  00505050  004F4F4F  004B4B4B  00474747  00434343  00424242
00000150    00404040  003D3D3D  00333333  00323232  002D2D2D  002A2A2A  00282828  00252525  00242424  001B1B1B
00000160    00181818  00151515  000E0E0E  000D0D0D  00080808  00070707  00050505  00030303  00020202  00010101
00000170    00FFFFFF  00000000
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二、测试代码

from PIL import Image, ImageDraw
import matplotlib.pyplot as plt
import numpy as np
import datetime
import shutil
import osdef main():#调色板数据colors_tab = \['#00FF0000','#00FB0000','#00F80000','#00F70000','#00F60000','#00F50000','#00F40000','#00F30000','#00F20000','#00F10000','#00EB0000','#00E50000','#00DF0000','#00DC0000','#00DB0000','#00D70000','#00D50000','#00D30000','#00D20000','#00D10000','#00CE0000','#00C90000','#00C80000','#00C50000','#00C40000','#00C00000','#00BF0000','#00BE0000','#00B80000','#00B70000','#00B60000','#00B30000','#00B10000','#00AE0000','#00AA0000','#00A70000','#00A40000','#009F0000','#009A0000','#00990000','#00980000','#008F0000','#008B0000','#008A0000','#00880000','#00870000','#00850000','#00840000','#00800000','#00770101','#00750101','#00740101','#00710101','#006F0101','#006E0101','#006C0101','#006A0101','#00690101','#00680101','#00670101','#00660101','#00630101','#005F0101','#005B0101','#005A0101','#00530101','#00510101','#004B0101','#00440101','#00420101','#00410101','#003E0101','#003B0101','#00390101','#00380101','#00370101','#00350101','#00340101','#00330101','#00310101','#002F0101','#002D0101','#002B0101','#002A0101','#00290101','#00280101','#00260101','#00250101','#00220101','#00200101','#001E0101','#001C0101','#001B0101','#001A0101','#00190101','#00170101','#00160101','#00150101','#00140101','#00130101','#00120101','#00110101','#00100101','#000E0101','#000D0101','#000C0101','#000B0101','#00090101','#00080101','#00070101','#00060101','#00040101','#00020101','#00FFFFFF','#00F6F6F6','#00F3F3F3','#00EDEDED','#00ECECEC','#00E6E6E6','#00DADADA','#00D9D9D9','#00D6D6D6','#00D0D0D0','#00C0C0C0','#00BEBEBE','#00B8B8B8','#00AFAFAF','#00AEAEAE','#00A9A9A9','#00A5A5A5','#00989898','#008C8C8C','#00878787','#007F7F7F','#007B7B7B','#00767676','#00757575','#00737373','#006E6E6E','#00686868','#00676767','#00616161','#00595959','#00515151','#00505050','#004F4F4F','#004B4B4B','#00474747','#00434343','#00424242','#00404040','#003D3D3D','#00333333','#00323232','#002D2D2D','#002A2A2A','#00282828','#00252525','#00242424','#001B1B1B','#00181818','#00151515','#000E0E0E','#000D0D0D','#00080808','#00070707','#00050505','#00030303','#00020202','#00010101','#00FFFFFF','#00000000']#颜色块的大小color_block_height = 100color_block_width  = 100#每行显示颜色数num_columns = 10# 取整的行数num_rows = (len(colors_tab) + num_columns - 1) // num_columns# 创建空的颜色矩阵# color_matrix = np.zeros((num_rows * color_block_height, num_columns * color_block_width, 3), dtype=int) #背景为黑色color_matrix   = np.full((num_rows * color_block_height, num_columns * color_block_width, 3), 255, dtype=int) #背景为黑色# 将颜色填充到矩阵中for i, argb in enumerate(colors_tab):# 将ARGB颜色转化为RGBa = int(argb[1:3], 16)r = int(argb[3:5], 16)g = int(argb[5:7], 16)b = int(argb[7:9], 16)color = [r, g, b]# 计算当前颜色块的位置row = i // num_columnscol = i % num_columns# 填充相应的颜色块区域x0 = row * color_block_heighty0 = (row + 1) * color_block_heightx1 = col * color_block_widthy1 = (col + 1) * color_block_widthcolor_matrix[x0:y0, x1:y1] = color#显示调色板plt.title('Bitmap Color Palette Info') #标题plt.imshow(color_matrix)plt.savefig('Bitmap_Color_Palette_Info.png', dpi=500, bbox_inches="tight") #保存图片plt.show()if __name__ == '__main__':main()

三、测试结果