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DCT Image Compression with Progressive Decoding

This repository contains a Java implementation of a Discrete Cosine Transform (DCT) based image compression algorithm with support for progressive decoding simulation. The algorithm mimics the compression techniques used in standard compression algorithms like JPEG and MPEG.

Features

  • DCT-based coder-decoder for compressing images
  • Support for baseline and progressive delivery modes
  • Simulation of decoding using both baseline and progressive modes with latency control

Usage

To use the program, compile and run the Java file with the following command:

javac MyProgram.java
java MyProgram InputImage quantizationLevel DeliveryMode Latency
  • InputImage: Path to the input image file (RGB format).
  • quantizationLevel: A factor that affects compression (0 to 7).
  • DeliveryMode: 1 for baseline, 2 for progressive using spectral selection, 3 for progressive using successive bit approximation.
  • Latency: Latency in milliseconds for simulating data delivery during decoding.

Example Invocations

  1. Baseline mode with no quantization and no latency:
java MyProgram Example.rgb 0 1 0
  1. Baseline mode with quantization level 3 and latency of 100ms:
java MyProgram Example.rgb 3 1 100
  1. Progressive mode using spectral selection with quantization level 1 and latency of 100ms:
java MyProgram Example.rgb 1 2 100

Implementation Details

  • Encoder: Breaks the RGB image into 8x8 blocks, performs DCT on each block, quantizes the coefficients, and outputs the compressed data.
  • Decoder: Dequantizes the coefficients, performs inverse DCT, and reconstructs the image.
  • Progressive Decoding: Simulates sequential, spectral selection, and successive bit approximation modes with latency control.

Requirements

  • Java Development Kit (JDK)
  • Java IDE (optional)