Introduction In this tutorial, we will implement the Deep CNN-Based Blind Image Quality Predictor (DIQA) methodology proposed by Jongio Kim, Anh-Duc Nguyen, and Sanghoon Lee [1]. Also, I will go through the following TensorFlow 2.0 concepts: Download and prepare a dataset using a tf.data.Dataset builder. Define a TensorFlow input pipeline to…

Introduction As visual creatures, humans are sensitive to visual signal impairments such as blockiness, blurriness, noisiness, and transmission loss. Thus, I have focused my research on finding how image quality affects user behavior in web applications. Lately, several studies test the effect of low-quality images on web sites. Cornell University [4]…

Property Finder is a real estate marketplace in the Middle East, and our purpose is to help consumers find the perfect home. Our user experience is optimized to enable users to effortlessly navigate through an extensive set of property choices without leaving their home. …

Some months ago, I decided to buy a new laptop with enough power to crunch data. At that time, I also had a desktop with a GTX 1070, but I stopped using it because of the convenience of my new laptop. Having a GPU like the GTX 1070 dusting is…

Introduction The common goal of feature extraction is to represent the raw data as a reduced set of features that better describe their main features and attributes [1]. …

Image quality is a notion that highly depends on observers. Generally, it is linked to the conditions in which it is viewed; therefore, it is a highly subjective topic. Image quality assessment aims to quantitatively represent the human perception of quality. …