Multi-threaded concurrent wavelet based image compression and image editing

Since the starting of the use of wavelet in the 1980s as an alternative to the windowed fourier transform for signal analysis, it emerged as a cutting edge technology within the field of image analysis and in computer graphics. However, it is a very computationally intensive process which requires innovative and computationally efficient method. The concurrent wavelet transform might be a solution to it. Here multiple threads are engaged to transform the image data concurrently. This paper uses the Haar wavelet technique. The compression method has been evaluated in respect of compression ratio and PSNR. Additionally, the perception based subjective (Mean Opinion Score (MOS)) and objective (Picture Quality Scale (PQS)) evaluation methods are also applied and their effectiveness is evaluated. The multi-resolution nature of the Haar wavelets facilitates the easy inclusion of image editing in the transformed images. This editing method is also presented with better result.