Image Processing

Over the past few days, we have covered many topics related to image processing. In particular, the first few posts focused on applying various image filters using kernel convolution. Today, it’s time

We previously discussed how DCT works to achieve compression in Image Compression - JPEG(I). Today, we’ll focus on quantization, which controls the trade-off between image quality and bitrate. Simply put, quantization

Today, we’re going to talk about image compression—specifically JPEG, one of the most commonly used image formats today. To keep things manageable, we’ll split this topic into two posts. So,

One of the most important topics in image processing is frequency analysis, which offers a completely new perspective for understanding images. Unlike the spatial domain, frequency analysis examines images in the frequency domain,

Today, we’re going to explore an interesting topic in image processing: Geometric Transformations. These transformations play a crucial role in deep learning tasks like object detection and more. Image transformations encompass a