This paper presents an image quality enhancement of computational integral imaging reconstruction (CIIR) method by using a binary weighting mask on occlusion areas in elemental images. The proposed method utilizes a block-matching algorithm to estimate the occlusion areas in elemental images. Then, a binary weighting mask generated from the estimated occlusion area is applied to our CIIR method...

We present an approach for the extraction of parameters of a damped complex exponential model from a spectrogram modified by a binary mask. The parameters are estimated by a frequency domain based methods using subspace techniques, where the core algorithm is F-ESPRIT. The sub-band defined by the binary mask provides a reduced number of DFT-samples for the parameter extractions, which results i...

A spectro-temporal modulation based singing voice detection cascaded with a Viterbi based pitch tracking algorithm is proposed in this paper for singing-voice separation from monaural recordings. To detect the singing voice, the spectrotemporal modulation energy related to voice harmonics is extracted using a spectro-temporal modulation analysis framework developed for the Fourier spectrogram. ...

We present a computational auditory scene analysis system for separating and recognizing target speech in the presence of competing speech or noise. We estimate, in two stages, the ideal binary time-frequency (T-F) mask which retains the mixture in a local TF unit if and only if the target is stronger than the interference within the unit. In the first stage, we use harmonicity to segregate the...

Many studies have shown the advantage of using ideal binary mask (IdBM) to improve the intelligibility of speech masked by interfering voices. The present work further investigated the segmental contribution to the intelligibility of the IdBMprocessed sentences. Three types (i.e., vowel-only, consonantonly, and vowel-consonant transition) of Mandarin IdBMprocessed stimuli were generated by usin...

We present a simple heuristic-based Sinusoidal Partial Tracking (PT) algorithm for singing analysis. Our PT algorithm uses a heuristic of minimal frequency and magnitude difference to track sinusoidal partials in the popular music. An Ideal Binary Mask (IBM), which is created from the ground truth of the singing voice and the music accompaniment, is used to identify the sound source of the part...

Most existing binaural approaches to speech segregation rely on spatial filtering. In environments with minimal reverberation and when sources are well separated in space, spatial filtering can achieve excellent results. However, in everyday environments performance degrades substantially. To address these limitations, we incorporate monaural analysis within a binaural segregation system. We us...

While human listening is robust in complex auditory scenes, current speech enhancement algorithms do not perform well in noisy environments, even close-talk system is used. This paper addresses the robustness in dual microphone embedded close talk system by employing a computational auditory scene analysis (CASA) framework. The energy difference between the two microphones is used as the primar...

As feature size is much smaller than the wavelength of illumination source of lithography equipments, resolution enhancement technology (RET) has been increasingly relied upon to minimize image distortions. In advanced process nodes, pixelated mask becomes essential for RET to achieve an acceptable resolution. In this paper, we investigate the problem of pixelated binary mask design in a partia...

Hybrid stereolithograpgy (SLA) process synthesizes the laser scanning based SLA system and mask projection based SLA system. It adopts laser as the energy source for scanning the border of a 2D pattern, whereas a mask image is used to solidify the interior area. By integrating the merits of the two subsystems, the hybrid SLA process can achieve relatively high surface quality without sacrificin...