Figure - uploaded by Surya Kavitha Tirugatla
Content may be subject to copyright.
Source publication
Today's electronic equipment comes with user friendly interfaces such as keypads and graphical displays. As images convey more information to a user, it is many of the equipment today have image displays and interfaces. Hence most of the signal processing technologies today has dedicated hardware that act as co-processors to compress and decompress...
Contexts in source publication
Context 1
... lifting scheme has been developed as a flexible tool suitable for constructing the second generation wavelet [6]. It is composed of three basic operation stages: splitting, predicting, and updating. Fig.9, 10 shows the lifting scheme of the wavelet filter computing one dimension ...Context 2
... | P a g e The proposed VLSI architecture shown in Fig.11 performs 2-D DWT with line-based method [2][6]，which consists of five key modules: data choose module, the row DWT module, the column DWT module, DWT control unit and external RAM. ...Context 3
... Original, Transformed and Inverted images are displayed in the consecutive fig 13, 14,15 respectively. ...Similar publications
Image compression techniques realized in various ways have become an indispensable part in the practical storage and transmission of digital images. In this study, we present a novel method of lossy compression based on sampling and fuzzy encoding for grayscale images and discuss the problem of their reconstruction. First, an image is divided into...
Citations
... The technique is, however, limited by its inability to handle distortions arising from higher compression and abnormality arising from large pixel blocks and false contouring due to poor quantization of the transform coefficients. A model for lossy compression of poor contrast images is presented in [19]. The model effectively uses DCT and DWT to suppress redundancies and achieve increased clarity but it is unfit for compression of images with full mathematical precision. ...
A large composition of image, sound, motion, video and other signal sequences is always a rich source of useful and reliable information. With the proliferating cost and complexities of mass storage media, the need for redundancy and complex transmission-free signals is on the rise. Furthermore, the growing increase in the number of video-specific applications has heightened the need for digital multimedia technologies that emphasized bit compression. This paper presents a Discrete Transform Technique (DTT) that leveraged the integration of Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) for higher scale video compression. The experimental study of the new technique was based on some online videos with varying sizes, sources and formats. The analysis of the experimental values obtained for standard performance metrics such as maximum difference, mean square error and peak signal to noise ratio for the pre- and post-compression videos portrayed a very significant and encouraging impact of the new technique. Comparative analysis based on compression ratios derived using the new technique and some recent video compression techniques also established a very impressive performance of the new technique.
