Classifying image data

Blur image classification is essential for computer vision applications, including image quality assessment, surveillance and medical imaging systems. This study proposes a method to classify different types of blur: sharp, Gaussian blur, motion blur, and defocus blur, using the DenseNet121 architecture.

9p tuetuebinhan000 23-01-2025 3 0   Download

Lecture Digital image processing: Image compression presents the following content: Image compression – Decompression steps, error metrics, classifying image data, bit allocation, quantization, entropy coding, JPEG compression.

19p youcanletgo_04 17-01-2016 36 2   Download