The Colourlab has made significant contributions to the field of image quality assessment and enhancement. Over the years, Colourlab has conducted extensive research aimed at improving the quality of images across various domains, including photography, medical imaging, and computer vision. Their work has not only advanced the understanding of image quality but has also led to practical applications that benefit industries and society as a whole.

One of the key areas of research at NTNU Colourlab has been the development of objective image quality assessment metrics. These metrics provide quantitative measures to evaluate the quality of images, allowing researchers and professionals to assess and compare the quality of different images.

Another significant aspect of Colourlab's research is its focus on perceptual image quality. They have delved into the intricacies of how humans perceive and judge image quality, which is critical for designing algorithms and systems that align with human preferences and expectations. By studying the human visual system, Colourlab has contributed to the development of image processing techniques that enhance the perceptual quality of images, making them more visually appealing and informative.

In addition to their work on image quality assessment, NTNU Colourlab has also made strides in image enhancement techniques. Their research includes the development of image restoration algorithms, denoising methods, and image super-resolution techniques. These advancements have practical applications in fields such as medical imaging, where the clarity and accuracy of diagnostic images are paramount, and in the enhancement of low-quality surveillance footage for security purposes.

Furthermore, Colourlab's interdisciplinary approach has led to collaborations with industry partners, making their research more applicable in real-world scenarios. They have worked closely with companies in the imaging and multimedia sectors to develop solutions that meet specific industry needs and challenges.