将图像转换为索引的2位灰度BMP [英] converting images to indexed 2-bit grayscale BMP
问题描述
首先，我的问题不同于
样本BMP图像开始部分的十六进制值:
3表示图像开始处的白色像素.再往下是代表黑色，深灰色和浅灰色的0、1和2:
使用以下命令，
转换pic.png -colorspace灰色+ matte -depth 2 out.bmp 我可以在视觉上获得 正确的4级灰度图像，但是每像素的深度或大小不正确:
颜色型号:RGB深度:8(期望值4)尺寸:800x504大小:1,209,738字节(大约每个像素3字节，外加元数据)(未提及索引色彩空间)
请帮助...
好的，我已经按照Mark的提示编写了Python脚本(请参阅原始问题下的注释)，以手动创建具有4bpp的4级灰度BMP.这种特定的BMP格式构造适用于WaveShare制造的4.3英寸电子纸显示模块.可以在这里找到规格:
First of all, my question is different to How do I convert image to 2-bit per pixel? and unfortunately its solution does not work in my case...
I need to convert images to 2-bit per pixel grayscale BMP format. The sample image has the following properties:
Color Model: RGB
Depth: 4
Is Indexed: 1
Dimension: 800x600
Size: 240,070 bytes (4 bits per pixel but only last 2 bits are used to identify the gray scales as 0/1/2/3 in decimal or 0000/0001/0010/0011 in binary, plus 70 bytes BMP metadata or whatever)
The Hex values of the beginning part of the sample BMP image:
The 3s represent white pixels at the beginning of the image. Further down there are some 0s, 1s and 2s representing black, dark gray and light gray:
With the command below,
convert pic.png -colorspace gray +matte -depth 2 out.bmp
I can get visually correct 4-level grayscale image, but wrong depth or size per pixel:
Color Model: RGB
Depth: 8 (expect 4)
Dimension: 800x504
Size: 1,209,738 bytes (something like 3 bytes per pixel, plus metadata)
(no mention of indexed colour space)
Please help...
OK, I have written a Python script following Mark's hints (see comments under original question) to manually create a 4-level gray scale BMP with 4bpp. This specific BMP format construction is for the 4.3 inch e-paper display module made by WaveShare. Specs can be found here: http://www.waveshare.com/wiki/4.3inch_e-Paper
Here's how to pipe the original image to my code and save the outcome.
convert in.png -colorspace gray +matte -colors 4 -depth 2 -resize '800x600>' pgm:- | ./4_level_gray_4bpp_BMP_converter.py > out.bmp
Contents of 4_level_gray_4bpp_BMP_converter.py:
#!/usr/bin/env python
"""
### Sample BMP header structure, total = 70 bytes
### !!! little-endian !!!
Bitmap file header 14 bytes
42 4D "BM"
C6 A9 03 00 FileSize = 240,070 <= dynamic value
00 00 Reserved
00 00 Reserved
46 00 00 00 Offset = 70 = 14+56
DIB header (bitmap information header)
BITMAPV3INFOHEADER 56 bytes
28 00 00 00 Size = 40
20 03 00 00 Width = 800 <= dynamic value
58 02 00 00 Height = 600 <= dynamic value
01 00 Planes = 1
04 00 BitCount = 4
00 00 00 00 compression
00 00 00 00 SizeImage
00 00 00 00 XPerlPerMeter
00 00 00 00 YPerlPerMeter
04 00 00 00 Colours used = 4
00 00 00 00 ColorImportant
00 00 00 00 Colour definition index 0
55 55 55 00 Colour definition index 1
AA AA AA 00 Colour definition index 2
FF FF FF 00 Colour definition index 3
"""
# to insert File Size, Width and Height with hex strings in order
BMP_HEADER = "42 4D %s 00 00 00 00 46 00 00 00 28 00 00 00 %s %s 01 00 04 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 04 00 00 00 00 00 00 00 00 00 00 00 55 55 55 00 AA AA AA 00 FF FF FF 00"
BMP_HEADER_SIZE = 70
BPP = 4
BYTE = 8
ALIGNMENT = 4 # bytes per row
import sys
from re import findall
DIMENTIONS = 1
PIXELS = 3
BLACK = "0"
DARK_GRAY = "1"
GRAY = "2"
WHITE = "3"
# sample data:
# ['P5\n', '610 590\n', '255\n', '<1 byte per pixel for 4 levels of gray>']
# where item 1 is always P5, item 2 is width heigh, item 3 is always 255, items 4 is pixels/colours
data = sys.stdin.readlines()
width = int(data[DIMENTIONS].strip().split(' ')[0])
height = int(data[DIMENTIONS].strip().split(' ')[1])
if not width*height == len(data[PIXELS]):
print "Error: pixel data (%s bytes) and image size (%dx%d pixels) do not match" % (len(data[PIXELS]),width,height)
sys.exit()
colours = [] # enumerate 4 gray levels
for p in data[PIXELS]:
if not p in colours:
colours.append(p)
if len(colours) == 4:
break
# it's possible for the converted pixels to have less than 4 gray levels
colours = sorted(colours) # sort from low to high
# map each colour to e-paper gray indexes
# creates hex string of pixels
# e.g. "0033322222110200....", which is 4 level gray with 4bpp
if len(colours) == 1: # unlikely, but let's have this case here
pixels = data[PIXELS].replace(colours[0],BLACK)
elif len(colours) == 2: # black & white
pixels = data[PIXELS].replace(colours[0],BLACK)\
.replace(colours[1],WHITE)
elif len(colours) == 3:
pixels = data[PIXELS].replace(colours[0],DARK_GRAY)\
.replace(colours[1],GRAY)\
.replace(colours[2],WHITE)
else: # 4 grays as expected
pixels = data[PIXELS].replace(colours[0],BLACK)\
.replace(colours[1],DARK_GRAY)\
.replace(colours[2],GRAY)\
.replace(colours[3],WHITE)
# BMP pixel array starts from last row to first row
# and must be aligned to 4 bytes or 8 pixels
padding = "F" * ((BYTE/BPP) * ALIGNMENT - width % ((BYTE/BPP) * ALIGNMENT))
aligned_pixels = ''.join([pixels[i:i+width]+padding for i in range(0, len(pixels), width)][::-1])
# convert hex string to represented byte values
def Hex2Bytes(hexStr):
hexStr = ''.join(hexStr.split(" "))
bytes = []
for i in range(0, len(hexStr), 2):
byte = int(hexStr[i:i+2],16)
bytes.append(chr(byte))
return ''.join(bytes)
# convert integer to 4-byte little endian hex string
# e.g. 800 => 0x320 => 00000320 (big-endian) =>20030000 (little-endian)
def i2LeHexStr(i):
be_hex = ('0000000'+hex(i)[2:])[-8:]
n = 2 # split every 2 letters
return ''.join([be_hex[i:i+n] for i in range(0, len(be_hex), n)][::-1])
BMP_HEADER = BMP_HEADER % (i2LeHexStr(len(aligned_pixels)/(BYTE/BPP)+BMP_HEADER_SIZE),i2LeHexStr(width),i2LeHexStr(height))
sys.stdout.write(Hex2Bytes(BMP_HEADER+aligned_pixels))
Edit: everything about this e-paper display and my code to display things on it can be found here: https://github.com/yy502/ePaperDisplay
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