Recreates the metrics of MDID dataset using Go language.

Why?

To be able evaluate Image Quality Assessment (IQA) in Go language (and an exercise for me).

Requirements:

• Go language installed.
• 1.8GB free space for download and extract dataset. After extracting the zip file can be deleted, unpacked dataset is ~1GB.

Installation & run:

1. clone repository: git clone https://github.com/goMDID
2. enter repository: cd goMDID
3. load & extract dataset: ./dataset/getMDID.sh
4. run project: go run *.go

Go third party dependencies:

• golang.org/x/image/bmp
• github.com/dgryski/go-onlinestats *
• github.com/mcgrew/gostats *
• gonum.org/v1/gonum/stat *

*) can be omitted, currently only used for comparison/verifying of self-implemented correlation methods.

Known bugs:

• SSIM incorrectly implemented.

Sources

1. W. Sun, F. Zhou, Q. M. Liao. MDID: a multiply distorted image database for image quality assessment, Pattern Recognit. 61C (2017) pp. 153-168.