سوالات و جواب هارا بطور منظم و بادقت از عکسی که فر...

python
from PIL import Image, ImageEnhance, ImageFilter
img = Image.open('/mnt/data/IMG_۲۰۲۶۰۷۱۴_۰۷۳۳۰۸.jpg')
img.size


(1694, 2064)

python
rot = img.rotate(90, expand=True)  # counterclockwise
rot.save('/mnt/data/rotated.jpg')
rot.size


(2064, 1694)

python
from PIL import ImageEnhance, ImageOps
# crop main writing area
# let's create several horizontal crops and enhance contrast/sharpness
import os, math
w,h=rot.size
ys=[180,380,600,820,1040,1260,1480]
for i in range(len(ys)-1):
    crop=rot.crop((0,ys[i],w,ys[i+1]))
    g=ImageOps.grayscale(crop)
    g=ImageEnhance.Contrast(g).enhance(2.0)
    g=ImageEnhance.Sharpness(g).enhance(2.0)
    path=f'/mnt/data/crop_{i}.png'
    g.save(path)
[(i, f'/mnt/data/crop_{i}.png') for i in range(len(ys)-1)]


[(0, '/mnt/data/crop_0.png'),
 (1, '/mnt/data/crop_1.png'),
 (2, '/mnt/data/crop_2.png'),
 (3, '/mnt/data/crop_3.png'),
 (4, '/mnt/data/crop_4.png'),
 (5, '/mnt/data/crop_5.png')]

python
# Create upscaled enhanced line crops from rotated original
lines = {
"line1": (60,250,2050,520),
"line2": (60,500,2050,760),
"line3": (60,760,2050,1010),
"line4": (60,1000,2050,1260),
"line5": (60,1240,2050,1530),
"line6": (60,1450,2050,1690),
}
for name, box in lines.items():
    c=rot.crop(box)
    c=c.resize((c.width*2,c.height*2))
    # enhance slightly
    c=ImageEnhance.Contrast(c).enhance(1.4)
    c=ImageEnhance.Sharpness(c).enhance(2.5)
    c.save(f'/mnt/data/{name}_up.jpg', quality=95)


<<ImageDisplayed>>

python
# rightmost and leftmost details line1/2
for name, box in {
    'q1_right':(1400,250,2064,780),
    'q1_mid':(700,250,1500,780),
    'q1_left':(0,250,800,780),
    'q2_right':(1250,760,2064,1270),
    'q2_left':(0,760,1300,1270),
    'q3_full':(0,1350,2064,1694)
}.items():
    c=rot.crop(box).resize(((box[2]-box[0])*3,(box[3]-box[1])*3))
    c=ImageEnhance.Contrast(c).enhance(1.5)
    c=ImageEnhance.Sharpness(c).enhance(2)
    c.save(f'/mnt/data/{name}.jpg', quality=95)


<<ImageDisplayed>>

python
c=rot.crop((0,500,1000,850)).resize((3000,1050))
c=ImageEnhance.Contrast(c).enhance(1.5)
c=ImageEnhance.Sharpness(c).enhance(2)
c.save('/mnt/data/q1_line2_left_detail.jpg', quality=95)


<<ImageDisplayed>>

python
from PIL import Image, ImageEnhance, ImageOps, ImageFilter
# make line2 only with different treatments
box=(0,520,2064,790)
c=rot.crop(box)
# upscale 3x with lanczos
c=c.resize((c.width*3,c.height*3), Image.Resampling.LANCZOS)
# versions
c.save('/mnt/data/line2_color3x.png')
g=ImageOps.grayscale(c)
g=ImageEnhance.Contrast(g).enhance(2.2)
g=ImageEnhance.Sharpness(g).enhance(3)
g.save('/mnt/data/line2_gray3x.png')
# threshold adaptive-ish simple
import numpy as np
arr=np.array(g)
# invert/normalize
thr=170
bw=(arr < thr).astype(np.uint8)*255
Image.fromarray(255-bw).save('/mnt/data/line2_bw3x.png')


<<ImageDisplayed>>