1. HIV-1 induced differential expression of cell surface proteins in SupT1 cell lines
- Author
-
ian R, Anne Frank Joe, S Bestly Joe, Lalitha Kumari S, and V Amala Rani
- Subjects
Pulmonary and Respiratory Medicine ,Discrete wavelet transform ,Computer science ,020208 electrical & electronic engineering ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Data_CODINGANDINFORMATIONTHEORY ,02 engineering and technology ,Peak signal-to-noise ratio ,Set partitioning in hierarchical trees ,Computer Science::Computer Vision and Pattern Recognition ,Compression (functional analysis) ,Pediatrics, Perinatology and Child Health ,Color depth ,Compression ratio ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Algorithm ,Encoder ,Image compression - Abstract
The storage facility of image and image transfer is an extensive appliance in image compression. Image compression techniques require the proper and effective transforms and encoding methods to reach the aim. In this work, discrete wavelet transform based image compression algorithm is used for decomposing the image. The effectiveness of different Encoder loops are analyzed based on the values of peak signal to noise ratio (PSNR), compression ratio (CR), means square error (MSE) and bits per pixel (BPP). The optimum encoding loop for compression is also found based on the results.
- Published
- 2018
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