1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
#[repr(u8)]
pub enum FilterType {
NoFilter = 0,
Sub = 1,
Up = 2,
Avg = 3,
Paeth = 4
}
impl FilterType {
pub fn from_u8(n: u8) -> Option<FilterType> {
match n {
0 => Some(FilterType::NoFilter),
1 => Some(FilterType::Sub),
2 => Some(FilterType::Up),
3 => Some(FilterType::Avg),
4 => Some(FilterType::Paeth),
_ => None
}
}
}
fn filter_paeth(a: u8, b: u8, c: u8) -> u8 {
let ia = a as i16;
let ib = b as i16;
let ic = c as i16;
let p = ia + ib - ic;
let pa = (p - ia).abs();
let pb = (p - ib).abs();
let pc = (p - ic).abs();
if pa <= pb && pa <= pc {
a
} else if pb <= pc {
b
} else {
c
}
}
pub fn unfilter(filter: FilterType, bpp: usize, previous: &[u8], current: &mut [u8]) {
use self::FilterType::*;
let len = current.len();
match filter {
NoFilter => (),
Sub => {
for i in bpp..len {
current[i] = current[i].wrapping_add(
current[i - bpp]
);
}
}
Up => {
for i in 0..len {
current[i] = current[i].wrapping_add(
previous[i]
);
}
}
Avg => {
for i in 0..bpp {
current[i] = current[i].wrapping_add(
previous[i] / 2
);
}
for i in bpp..len {
current[i] = current[i].wrapping_add(
((current[i - bpp] as i16 + previous[i] as i16) / 2) as u8
);
}
}
Paeth => {
for i in 0..bpp {
current[i] = current[i].wrapping_add(
filter_paeth(0, previous[i], 0)
);
}
for i in bpp..len {
current[i] = current[i].wrapping_add(
filter_paeth(current[i - bpp], previous[i], previous[i - bpp])
);
}
}
}
}
pub fn filter(method: FilterType, bpp: usize, previous: &[u8], current: &mut [u8]) {
use self::FilterType::*;
let len = current.len();
match method {
NoFilter => (),
Sub => {
for i in (bpp..len).rev() {
current[i] = current[i].wrapping_sub(current[i - bpp]);
}
}
Up => {
for i in 0..len {
current[i] = current[i].wrapping_sub(previous[i]);
}
}
Avg => {
for i in (bpp..len).rev() {
current[i] = current[i].wrapping_sub((current[i - bpp].wrapping_add(previous[i]) / 2));
}
for i in 0..bpp {
current[i] = current[i].wrapping_sub(previous[i] / 2);
}
}
Paeth => {
for i in (bpp..len).rev() {
current[i] = current[i].wrapping_sub(filter_paeth(current[i - bpp], previous[i], previous[i - bpp]));
}
for i in 0..bpp {
current[i] = current[i].wrapping_sub(filter_paeth(0, previous[i], 0));
}
}
}
}