Wavelet based Video Compression techniques for Industrial monitoring applications

Abstract The principle of industrial machine monitoring and vehicle camera transmission system are focusing on this paper. Video compression is widely used in many applications like continuous machines which consumes more storage by capturing every motion detection machine, hence video coding highly recommended for without any loss the actual video. By using wavelet transform delivers superior localization both frequency time domain its results showcases better performance while comparing with discrete cosine transform. A comparative analysis has been carried Haar orthogonal (Daubechies) wavelet. Duplicate coefficients reduced quantization technique. It aims to attain minimum error preserving high peak signal noise ratio image quality acceptable range. Using PSNR as measure quality, paper shows that Daubechies provides compared Evaluation depends upon ratio, PSNR, MSE, SSIM.