Apparent display resolution enhancement for moving images

Apparent Resolution Enhancement: Structural Similarity Perspective

This paper presents a detailed investigation and comparative analysis of the two well-known classes of Super Resolution (SR) i.e. Reconstruction Based Super Resolution (RBSR) and the Example Based Super Resolution (EBSR), taking into account the seven variables: Resolution Factor, Aliasing, Stills, Motion, Compression, Noise and Detection scenario. The EBSR uses high and low frequency relations...

Temporal Resolution Enhancement for AMSR Images

Some techniques which average multiple AMSR satellite data passes into daily sets create images with diminished temporal resolution. This results from averaging data of multiple overlapping passes separated by many hours. Overlap can be reduced by instead grouping data according to local time of day. This new method maximizes temporal resolution by decreasing both the number and the temporal va...

Display and detail enhancement for high-dynamic-range infrared images

Learning Based Resolution Enhancement of Iris Images

Iris recognition is one of the most reliable personal identification methods. The potential requirement of obtaining high accuracy is that users supply iris images with good quality. It is thus necessary for an iris recognition system to operate the possibly blurred iris images due to less cooperation of users and camera with low resolution. This paper proposes a new algorithm for resolution en...

A Fuzzy-based Contrast Enhancement for High Resolution Satellite Images

Many conventional contrast enhancement techniques adopt a global approach to enhance the image. However, it is usually difficult to enhance all land cover classes appearing in the satellite image using these approaches, because local contrast information and details may be lost in the dark and bright areas. In this study, a three-stage algorithm based on fuzzy set theory is proposed to deal wit...