IMAGE COMPRESSION ON BIOMEDICAL IMAGING USING DCT AND LZW LOSSLESS APPROACH
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING AND TECHNOLOGY
Author(s): SADHANA SINGH , ASHISH AGRAWAL , MALAY TRIPATHI , SHIV KUMAR VAISH
Abstract: There are various applications of image processing like satellite imaging, biomedical imaging, remote sensing and radar imaging where the size of the image and quality of the image is most important but it requires a lot of space to store at the places due to the high bandwidth of the communication of the original image. In these applications we apply the image compression techniques to store the data and reduce its space for storage time. There are various factors which affecting the compression like spatial resolution, bit depth, noise, image sizing, viewing distance, etc. Biomedical imaging focuses on the capture of images for both diagnostic and therapeutic purpose. The biomedical images can be displayed by the high bit resolution and we have to convert the high bit resolution into the low bit resolution for displaying the images. This problem is occurs mostly on the low-cost or small devices. In this paper, we capture the 2D images for resolving. The resolution of the 2D images is
- Publication Date: 25-May-2014
- DOI: 10.15224/978-1-63248-028-6-01-04
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EFFECT OF END SECTIONS IN SPEECH RECOGNITION
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING AND TECHNOLOGY
Author(s): DIGANTA BAISHYA
Abstract: The speech recognition process involves humanmachine communication via human voice. This complex process involves understanding and differentiating the basic characteristics of speech. Lot of work has been done in this regard, but we are yet to have a system with hundred percent recognition rate thus limiting uses of such a system only to noncritical applications. The task is to recognize the human voice sent to the machine via a communication media. The paper discusses some works done in the area of speech recognition. All speech recognition algorithms consider specific characteristics of speech signal resulting into better recognition rate in the recent years. However people are still looking into different aspects of speech signal to improve their rates. We focus on an aspect that is not studied much yet. The paper reports experiments conducted to verify whether the position of a word in a sentence influences the recognition rate, and if so, how and what can be done to utilize this
- Publication Date: 25-May-2014
- DOI: 10.15224/978-1-63248-028-6-01-05
- Views: 0
- Downloads: 0