Add entropy filter
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dfb6eb7c46
commit
5c25de48f1
2 changed files with 68 additions and 31 deletions
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@ -13,6 +13,7 @@ pub enum RowFilter {
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Paeth,
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// Heuristic strategies
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MinSum,
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Entropy,
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}
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impl TryFrom<u8> for RowFilter {
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@ -38,14 +39,16 @@ impl Display for RowFilter {
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Self::Average => "Average",
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Self::Paeth => "Paeth",
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Self::MinSum => "MinSum",
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Self::Entropy => "Entropy",
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}
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)
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}
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}
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impl RowFilter {
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pub const LAST: u8 = Self::MinSum as u8;
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pub const LAST: u8 = Self::Entropy as u8;
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pub const STANDARD: [Self; 5] = [Self::None, Self::Sub, Self::Up, Self::Average, Self::Paeth];
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pub const SINGLE_LINE: [Self; 2] = [Self::None, Self::Sub];
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pub fn filter_line(self, bpp: usize, data: &[u8], last_line: &[u8], buf: &mut Vec<u8>) {
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assert!(data.len() >= bpp);
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@ -309,41 +309,69 @@ impl PngImage {
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if last_pass != line.pass {
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last_line = &[];
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}
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match filter {
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RowFilter::MinSum => {
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// Heuristically guess best filter per line
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// Uses MSAD algorithm mentioned in libpng reference docs
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// http://www.libpng.org/pub/png/book/chapter09.html
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let mut best_line = Vec::new();
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let mut best_size = u64::MAX;
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for try_filter in RowFilter::STANDARD {
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// Avoid vertical filtering on first line of each interlacing pass
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if last_pass != line.pass && try_filter > RowFilter::Sub {
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continue;
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}
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try_filter.filter_line(bpp, line.data, last_line, &mut f_buf);
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let size = f_buf.iter().fold(0_u64, |acc, &x| {
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let signed = x as i8;
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acc + i16::from(signed).unsigned_abs() as u64
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});
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if size < best_size {
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best_size = size;
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std::mem::swap(&mut best_line, &mut f_buf);
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if filter <= RowFilter::Paeth {
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// Standard filters
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let filter = if last_pass == line.pass || filter <= RowFilter::Sub {
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filter
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} else {
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RowFilter::None
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};
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filter.filter_line(bpp, line.data, last_line, &mut f_buf);
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filtered.extend_from_slice(&f_buf);
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} else {
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// Heuristic filter selection strategies
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let mut best_line = Vec::new();
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// Avoid vertical filtering on first line of each interlacing pass
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let try_filters = if last_pass == line.pass {
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RowFilter::STANDARD.iter()
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} else {
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RowFilter::SINGLE_LINE.iter()
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};
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match filter {
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RowFilter::MinSum => {
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// MSAD algorithm mentioned in libpng reference docs
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// http://www.libpng.org/pub/png/book/chapter09.html
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let mut best_size = usize::MAX;
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for try_filter in try_filters {
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try_filter.filter_line(bpp, line.data, last_line, &mut f_buf);
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let size = f_buf.iter().fold(0, |acc, &x| {
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let signed = x as i8;
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acc + signed.unsigned_abs() as usize
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});
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if size < best_size {
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best_size = size;
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std::mem::swap(&mut best_line, &mut f_buf);
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}
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}
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}
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filtered.extend_from_slice(&best_line);
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}
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_ => {
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let filter = if last_pass == line.pass || filter <= RowFilter::Sub {
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filter
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} else {
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RowFilter::None
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};
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filter.filter_line(bpp, line.data, last_line, &mut f_buf);
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filtered.extend_from_slice(&f_buf);
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RowFilter::Entropy => {
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// Shannon entropy algorithm, from LodePNG
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// https://github.com/lvandeve/lodepng
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let mut best_size = i32::MIN;
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for try_filter in try_filters {
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try_filter.filter_line(bpp, line.data, last_line, &mut f_buf);
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let mut counts = vec![0; 0x100];
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for &i in f_buf.iter() {
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counts[i as usize] += 1;
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}
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let size = counts.into_iter().fold(0, |acc, x| {
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if x == 0 {
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return acc;
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}
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acc + ilog2i(x)
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}) as i32;
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if size > best_size {
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best_size = size;
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std::mem::swap(&mut best_line, &mut f_buf);
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}
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}
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}
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_ => unreachable!(),
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}
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filtered.extend_from_slice(&best_line);
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}
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last_line = line.data;
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last_pass = line.pass;
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}
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@ -360,3 +388,9 @@ fn write_png_block(key: &[u8], header: &[u8], output: &mut Vec<u8>) {
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output.append(&mut header_data);
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output.extend_from_slice(&crc.to_be_bytes());
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}
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// Integer approximation for i * log2(i) - much faster than float calculations
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fn ilog2i(i: u32) -> u32 {
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let log = 32 - i.leading_zeros() - 1;
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i * log + ((i - (1 << log)) << 1)
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}
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