Reading contributes to vocabulary development and is regarded as an efficient pedagogical approach learning. Through reading, learners are exposed new words in their rightful context of use. This study investigates the effects input enhancements on incidental academic word learning through reading English texts among a Second Language (ESL) undergraduates. The compares different conditions, glo...

-To extract fine details from input bracketed images and preserve them in the final image, a novel exposure fusion method based on the nonsubsampled contourlet transform (NSCT) is presented in this paper,in which unique visual weight map is used for the detail extraction and an improved weight measurement is developed to remove the motion objects in dynamic scenes. Furthermore, a fast algorithm...

The mammalian retina seems far smarter than scientists have believed so far. Inspired by the visual processing mechanisms in the retina, from the layer of photoreceptors to the layer of retinal ganglion cells (RGCs), we propose a computational model for haze removal from a single input image, which is an important issue in the field of image enhancement. In particular, the bipolar cells serve t...

In this contribution we investigate the effectiveness of BAYESIAN feature enhancement (BFE) on a medium-sized recognition task containing real-world recordings of noisy reverberant speech. BFE employs a very coarse model of the acoustic impulse response (AIR) from the source to the microphone, which has been shown to be effective if the speech to be recognized has been generated by artificially...

Image enhancement for the better quality of image is required in various image based application. One of the technique to enhance the image is image fusion. It is an effective way for optimum utilization of large volumes of images from multiple sources. It extracts complete information from source images into the result, without introducing any artifacts or inconsistencies. In this process, it ...

Histogram equalization is one of the most popular techniques in image enhancement. However, due to the shifting of the mean brightness, the quality of the output image is deteriorated with great amount of information loss. This paper proposes a novel modification of the adaptive histogram equalization algorithm to improve its abilities in preserving information entropy, maintaining the mean bri...