So far, there is no suitable metric for the objective measure of enhancement performance on the basis of which we can sort the enhanced images according to visual quality and detail enhancement.
There is also no satisfying metric for the objective measure of enhancement performance on the basis of which we can sort the enhanced images according to visual quality and detail enhancement.
The objective of image enhancement is to show features of interest in an enhanced manner, by applying certain operations available in the IP software (Meijerink et al. 2007).
Then, the objective of speech enhancement (or noise reduction) is to estimate x Q from y.
Then, the main objective of speech enhancement is to find an appropriate H that makes the output SNR greater than the input SNR.
Then, the objective of speech enhancement (or noise reduction) is to estimate the desired signal sample, x k), from the observation vector, y(k).
The objective of speech enhancement (SE, also called noise reduction) algorithms is to improve one or more perceptual aspects of the noisy speech by decreasing the background noise without affecting the intelligibility of the speech [1].
Intuitively, the objective of an enhancement approach is to produce an output image that looks better than the original one by increasing the gray-level differences (i.e., the contrast) among pattern objects.
Such lessons could further their objectives of the enhancement of quality, greater transparency and more empowered consumers.
The objective of the technology enhancement for passive safety systems (TEPSS) project TEPSS Final Report, INNO-TEPSS 99 -D21 INNO-TEPSS 99 -D21e significant additions to the technology base of the European simplified boiling water reactor (ESBWR).
Recently, the objective of multichannel speech enhancement has been reformulated, so that noise reduction can be achieved without dereverberating speech.
