Cargo.toml

@@ -6,7 +6,7 @@ The squishiest image format!
 repository = "https://github.com/Dangoware/sqp"
 license = "MIT OR Apache-2.0"
 authors = ["G2 <ke0bhogsg@gmail.com>"]
-version = "0.1.1"
+version = "0.1.0"
 edition = "2021"
 categories = ["encoding", "compression", "graphics", "multimedia::images", "multimedia::encoding"]
 

README.md

@@ -1,10 +1,8 @@
 <p align="center">
-  <img title="SQP" alt="SQP Logo" width="500px" src="https://github.com/user-attachments/assets/cf2fd7f4-f825-4bb4-9427-1b7181be4639">
+  <img width="400px" src="https://github.com/user-attachments/assets/98f94c1c-ed6f-49a3-b906-c328035d981e">
 </p>
 
-[![Lib.rs Version](https://img.shields.io/crates/v/sqp?style=for-the-badge&logo=rust&label=lib.rs&color=%23a68bfc)](https://lib.rs/crates/sqp)
+# SQP
-[![docs.rs](https://img.shields.io/docsrs/cross_usb?style=for-the-badge)](https://docs.rs/sqp/)
-
 **SQP** (**SQ**uishy **P**icture Format) is an image format designed 
 for ease of implementation and learning about compression and image formats
 while attaining a relatively good compression ratio. The general idea is to
@@ -21,7 +19,6 @@ speeds.
 - Support for various color formats (RGBA, Grayscale, etc.)
 - Decent compression ratios, the lossless compression can often beat PNG
   especially on images with transparency
-- Lossy alpha compression!
 - Relatively simple
 - Squishy! 🍡
 
@@ -33,14 +30,3 @@ speeds.
   - Decoder-based frame interpolation
 - Floating point color
 - Metadata?
-
-## Examples
-All examples are at 30% quality in both JPEG and SQP.
-
-| Original | JPEG | SQP |
-|----------|--------------|-------------|
-| <img width="300px" src="https://github.com/user-attachments/assets/e4f7b620-4cf5-407d-851b-800c52c8a14d"> | <img width="300px" src="https://github.com/user-attachments/assets/84691e8c-2f73-4a1d-b979-0863066b159f"> | <img width="300px" src="https://github.com/user-attachments/assets/ccaa8770-b641-437f-80d1-3658f94c2e21"> |
-| <img width="300px" src="https://github.com/user-attachments/assets/f0056e3b-8988-4d0d-88bf-bc73ac5b8be0"> | <img width="300px" src="https://github.com/user-attachments/assets/400c4072-ba69-45d7-8051-46a4e2867c7f"> | <img width="300px" src="https://github.com/user-attachments/assets/c4c84f64-7564-433a-a922-17da472578d9"> |
-
-Images obtained from the following source:
-[https://r0k.us/graphics/kodak/](https://r0k.us/graphics/kodak/)

src/compression/dct.rs

@@ -100,9 +100,6 @@ pub fn idct(input: &[f32], width: usize, height: usize) -> Vec<u8> {
 ///
 /// Instead of using this, use the [`quantization_matrix`] function to
 /// get a quantization matrix corresponding to the image quality value.
-///
-/// TODO: In the future, it would be cool to figure out how to generate a
-/// quantization matrix of any size.
 const BASE_QUANTIZATION_MATRIX: [u16; 64] = [
     16, 11, 10, 16,  24,  40,  51,  61,
     12, 12, 14, 19,  26,  58,  60,  55,

src/lib.rs

@@ -18,10 +18,8 @@
 //! let width = 2;
 //! let height = 2;
 //! let bitmap = vec![
-//!     0xFF, 0xFF, 0xFF, 0xFF,
+//!     255, 255, 255, 255, 0, 255, 0, 128,
-//!     0x00, 0x80, 0x00, 0x80,
+//!     255, 255, 255, 255, 0, 255, 0, 128
-//!     0xFF, 0xFF, 0xFF, 0xFF,
-//!     0x00, 0x80, 0x00, 0x80,
 //! ];
 //!
 //! // Create a 2×2 image in memory. Nothing is compressed or encoded

src/operations.rs

@@ -58,9 +58,9 @@ pub fn add_rows(width: u32, height: u32, color_format: ColorFormat, data: &[u8])
             // Interleave the offset alpha into the RGB bytes
             data[rgb_index..rgb_index + width as usize * (color_format.pbc() - 1)]
                 .chunks(color_format.pbc() - 1)
-                .zip(data[alpha_index..alpha_index + width as usize].iter())
+                .zip(data[alpha_index..alpha_index + width as usize].into_iter())
                 .flat_map(|(a, b)| {
-                    a.iter().chain(vec![b])
+                    a.into_iter().chain(vec![b])
                 })
                 .copied()
                 .collect()

src/picture.rs

@@ -264,5 +264,5 @@ fn decode_varint_stream(stream: &[u8]) -> Vec<i16> {
 pub fn open<P: AsRef<Path>>(path: P) -> Result<SquishyPicture, Error> {
     let input = File::open(path)?;
 
-    SquishyPicture::decode(input)
+    Ok(SquishyPicture::decode(input)?)
 }