A technique that automatically determines a transformation function seeking to produce an output image with a uniform histogram. It increases the global contrast of many images.

If you need to expand on a specific chapter from Jayaraman's syllabus, let me know. I can provide the , generate MATLAB/Python code samples for the algorithms, or map out a specific lecture timeline based on your presentation goals. Share public link

Examples: Huffman Coding, Run-Length Coding (RLC), LZW Coding.

The book provides worked examples and review questions to aid understanding, as detailed in the chapter summaries.

Digitizing the continuous intensity amplitudes. This dictates the gray-level resolution (typically represented as an integer power of two, such as 1.4 Basic Relationships Between Pixels be pixels in an image. Neighbors of a Pixel: 4-neighbors ( ): The four horizontal and vertical pixels adjacent to 8-neighbors (

Unused or inefficiently allocated binary codes.

(useful for enhancing white details embedded in dark regions). : (expands dark pixel values while compressing bright ones). Power-Law (Gamma) Transformations :

Multiresolution analysis represents images at multiple scales, enabling efficient processing for detection and compression. Image pyramids (Gaussian, Laplacian) and wavelet transforms decompose images into coarse and detailed components, useful for denoising, fusion, and scalable coding.

Module 3: Need for Transforms, 2D-DFT Equations, Properties of DCT, Lowpass vs Highpass Filtering in Frequency Domain

Object recognition, robotics, and surveillance.

This section covers how human eyes perceive visual stimuli and how computers replicate that process. Elements of Visual Perception

Compression reduces storage and transmission costs. Lossless methods (PNG, GIF) preserve exact data using entropy coding (Huffman, arithmetic). Lossy methods (JPEG, JPEG2000, HEIF) exploit human perceptual limits—transform coding (DCT, wavelets), quantization, and entropy coding—to achieve higher compression. Rate-distortion trade-offs and perceptual quality metrics guide codec design and parameter choice.

Understanding image representation in the transform domain. 3. Image Transforms