Adding Noise to Images and Photos in Various Formats

Adding noise to images or photos in various formats provides convenient application possibilities and greater flexibility for users. This technique enhances visual appeal by making images appear more dynamic and artistic. The noise parameters can be customized according to personal preferences, accommodating diverse user requirements. From a technical implementation perspective, this typically involves using functions like imnoise() in MATLAB or similar noise generation algorithms in other programming environments, which can apply Gaussian noise, salt-and-pepper noise, or Poisson noise based on specified parameters. The process increases image complexity, making them more engaging and distinctive. Furthermore, implementing noise addition through programming allows for batch processing capabilities and parameter optimization. By incorporating noise into images or photos, users gain expanded creative and design possibilities, resulting in more personalized and unique visual outputs. The code implementation generally includes image reading functions, noise generation algorithms, and image output methods, supporting common formats like JPEG, PNG, and BMP.