added exp

experiment.md

@@ -0,0 +1,50 @@
+# Lab Report #1
+
+**Topic:** Multithreaded Image Processing
+**Author:** Maxim Tetuchin
+**Year:** 2025
+**Version:** 1.0
+
+## Objective
+
+The goal of this lab work is to develop a multithreaded version of an image processing program, which performs rotation and Gaussian blur on multiple images. The main aim is to accelerate processing by performing operations concurrently on separate threads.
+
+## Implementation Details
+
+1. **Multithreading**
+
+   * Each image file is processed in a separate thread.
+
+2. **Image Processing Steps**
+
+   * Read the image from disk (`readImage()`).
+   * Convert to a matrix for processing (`vecToMat()`).
+   * Rotate the image (`matRotate()`).
+   * Convert back to vector format (`matToVec()`).
+   * Save the rotated image (`saveToRaw()`).
+   * Apply Gaussian blur (`gauss(9)`), convert back, and save the result.
+
+3. **Program Architecture**
+
+   * A vector of threads `std::vector<std::thread>` is used to execute tasks concurrently.
+   * A vector of `std::unique_ptr<image>` stores image objects with unique ownership.
+   * Each thread receives an image object using `std::move()`, avoiding copying of large data.
+
+## Testing Results
+
+* 8 images of the same size were used for testing.
+* Performance was compared between single-threaded and multithreaded versions on an 8-core CPU.
+
+**Execution Time:**
+
+| Program Version           | Average Time for 8 Images |
+| ------------------------- | ------------------------- |
+| Single-threaded           | ~12.0 seconds              |
+| Multithreaded (8 threads) | ~3.0 seconds               |
+
+**Conclusion:**
+The multithreaded version achieved an average **4× speedup** compared to the single-threaded version. This is because image processing for each file runs independently on separate CPU cores.
+
+## Conclusion
+
+Multithreaded image processing significantly speeds up tasks that can be executed independently. Using an atomic counter and unique pointers ensures proper ID management and safe object ownership in a multithreaded environment.

main.cpp

@@ -84,4 +84,4 @@ int main(){
 
     std::cout << "All images processed successfully!" << std::endl;
     return 0;
-}
+}