Tinku Acharya

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In this paper, we propose an architecture that performs the forward and inverse discrete wavelet transform (DWT) using a lifting-based scheme for the set of seven filters proposed in JPEG2000. The architecture consists of two row processors, two column processors, and two memory modules. Each processor contains two adders, one multiplier, and one shifter.(More)
This book covers the classical methods in image processing and introduces many recent applications. The described applications span a broad range of fields, including medical and dental imaging, multimedia search and retrieval, and tracking and security. The book opens with a description of the physical process of image formation and color perception.(More)
methods derive from considerations over different type of backups (the updates of the states). The chapter is closed by a “trespass” in the AI field: implications in exploiting heuristic search with planning methods are analyzed. Chapter 10: Dimensions of Reinforcement Learning In chapter 10, the authors present the final considerations on RL, highlighting(More)
Euler number of a binary image is a fundamental topological feature that remains invariant under translation, rotation, scaling, and rubber-sheet transformation of the image. In this work, a run-based method for computing Euler number is formulated and a new hardware implementation is described. Analysis of time complexity and performance measure is(More)
In this paper, we review recent developments in VLSI architectures and algorithms for efficient implementation of lifting based Discrete Wavelet Transform (DWT). The basic principle behind the lifting based scheme is to decompose the finite impulse response (FIR) filters in wavelet transform into a finite sequence of simple filtering steps. Lifting based(More)
ABSTRACT To overcome many drawbacks in the current JPEG standard for still image compression, a new standard, JPEG2000, is under development by the International Standard Organization. Embedded bit plane coding is the heart of the JPEG2000 encoder. This encoder is more complex and has significantly higher computational requirements compared to the entropy(More)