Tone Mapped High Dynamic Range Image Quality Assessment Techniques: Survey and Analysis

Abstract

The dynamic range of luminance value obtained by natural scenes frequently extent than the images that are captured by recently developed imaging sensors. In this real world, various practical scenarios desire to attain high dynamic range (HDR) illumination. So a large number of HDR imaging techniques were developed during the past decades. But, still there exist some limitations, so we performed survey in this area to overcome these limitations. The consistent methods developed for tone mapped HDR images is found to be meaningful and momentous as this techniques are found to be more beneficial for performing the comparison process for the tone mapping operators (TMOs) and also to advance the improvements in TMO techniques. During past decades, numbers of Image Quality Assessment (IQA) methods have been emerged to estimate the tone mapped HDR images. Recent advancements that are obtained in IQA techniques of tone mapped HDR images are reviewed. These IQA methods are normally categorized into two types they are full reference, and no/blind reference (NR). This type performs the QA process based on the information’s that are obtained from the reference images. NR-IQA is highly recommended by various datasets to assess HDR images as it does not require any perfect reference image for tone mapped HDR image. In this review, we discuss some valuable and interesting IQA methods that are widely employed to assess the image quality. Yet, there exist a prospective to perform a various research works in this field.