Image enhancement is a primary need for the recognition of different biometrics in biometric-based identification systems. The recognition-rate of a biometric system depends heavily upon the quality of the input biometric given to the system. In this paper, a novel hybrid Fuzzy model (IEHFS) is proposed to improve the visual quality of iris images. The experimental results based on calculating ...

A limited number of research developments in the field of speech enhancement have been implemented into commercially available hearing-aids. However, even sophisticated aids remain ineffective in environments where there is overwhelming noise present. Human performance in such situations is known to be dependent upon input from both the aural and visual senses that are then combined by sophisti...

When video is shot in noisy environment, the voice of a speaker seen in the video can be enhanced using the visible mouth movements, reducing background noise. While most existing methods use audio-only inputs, improved performance is obtained with our visual speech enhancement, based on an audio-visual neural network. We add to the training data videos with synthetic background noise taken fro...

In this paper, we introduce a non-linear enhancement technique called Audio-Visual Codebook Dependent Cepstral Normalization (AVCDCN) and we consider its use with both audio-only and audio-visual speech recognition. AVCDCN is inspired from CDCN [1] [2], an audio-only enhancement technique that approximates the non-linear effect of noise on speech with a piece-wise constant function. Our experim...

Satellite images are being used in numerous fields of aspects. The major controversy of various types of images is their resolution. In this paper, proposed a new satellite image resolution enhancement technique based on the interpolation of the high frequency sub bands obtained by discrete wavelet transform and the input image. The proposed declaration intensification technique uses DWT to dec...

An image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The edges are enhanced by introducing an intermediate stage by using stationary wavelet transform (SWT). DWT is applied in order to decompose an input image into different subbands. Then the high frequency subbands as well as the...

In this study, the researcher chose three different vocabulary techniques (Visual Representation, Textual Enhancement, and Glossing) and compared them with traditional method of teaching vocabulary. 80 advanced EFL Learners were assigned as four intact groups (three experimental and one control group) through using a proficiency test and a vocabulary test as a pre-test. In the visual group, stu...

Underwater images are widely used in ocean resource exploration and environment surveillance. However, due to the influence of light attenuation noise, underwater usually display degradation phenomena such as blurring color deviation; an enhancement method is required make more visible. Currently, there two major approaches for image enhancement: traditional methods based on physical or non-phy...

Collocation is known as one of the most problematic areas in learning a second language and it seems that if one has tendency to improve his or her communication ability in another language, the elaboration of collocation using competence is among the most important issues. This study investigated the role of implicit input enhancement in teaching grammatical collocations for Iranian EFL learne...