A concurrent image processing tool built in Go, designed to explore parallel processing. It provides a simple web interface for uploading images, applying filters, resizing, and downloading processed results all powered by a worker pool concurrency model.

• 🖼️ Image Resizing

  • Bilinear

• 🎨 Filters

  • Blur
  • Grayscale

• 📂 Format Support

  • JPEG
  • PNG
  • WebP

• ⚡Performance-Oriented

  • Parallel processing with a worker pool
  • Batch operation support
  • Efficient memory usage for large images
  • Progress tracking for long operations

• Worker Pool Design

  • Configurable worker pool (default: runtime.NumCPU())
  • Job queue for processing tasks
  • Results returned via channels
  • Graceful shutdown support

• Processing Flow

  • User uploads image via web form
  • Server validates file (size, format, type)
  • Processing job created → submitted to worker pool
  • Worker processes (resize / filter / chain of ops)
  • Processed image saved temporarily
  • User gets preview + download link

• Web Interface

  • Simple HTML form for uploads
  • AJAX for non-blocking requests
  • Live progress updates
  • Download links for results

• Concurrency Model → Worker pool for controlled CPU usage

• File Handling → Temporary storage with cleanup

• API Design → REST endpoints (/upload, /process, /download)

• Error Handling → Proper error propagation + user feedback

• Security → File validation, size limits, allowed extensions

• Go 1.22+

git clone https://github.com/<your-username>/<repo-name>.git
cd <repo-name>
go mod tidy

go run cmd/server/main.go

• Open http://localhost:8080 in your browser

• Upload an image

• Choose operations (resize, filters)

• Download results