Bøger af Balaji V. R.

Image enhancement involves improving the visual quality of an image, making it more appealing or useful for various purposes. This can be achieved through a variety of techniques and algorithms designed to correct or enhance specific aspects of an image, such as brightness, contrast, sharpness, color balance, and overall visual clarity. The key aspects of image enhancement are Brightness and Contrast Adjustment, Color Correction, Sharpness Enhancement, Noise Reduction, Resolution Enhancement, Automatic Image Enhancement, Selective Enhancement, User-Friendly Tools.Image enhancement finds applications in various fields, including photography, medical imaging, satellite imagery, security and surveillance, and more. Whether you're a professional photographer, a content creator, or someone looking to improve personal photos, image enhancement tools and techniques play a crucial role in refining visual content for better impact and clarity.

Speech signal processing and feature extraction is the initial stage of any speech recognition system. It is through this component that the system views the speech signal itself. Speech processing is the process of extracting important information from a speech signal and reducing noise and unwanted information is called feature extraction. Basic operation of feature extraction involves spectral analysis, parametric transformation and statistical modeling.