PPT-Digital Image Compression Using Bit Plane Slicing Method

Póth Miklós Fürstner Igor Subotica Tech Data compression Lossless all original data can be recovered when the file is uncompressed The signal is perfectly reconstructed from the available samples ZIP GIF PNG. We have no digital cable boxes that will work on digital cable tv No digital cable box is available Digital cable descrambler and digital cable box will be available someday At this time no digital cable tv box is available Look for digital cable de Joseph Szigeti. (source list). Overview. Why BPCS was developed. How it works. Several implementations. Kawaguchi, Eason. Beaullieu. , . Crissey. , . Smith. Stoleru. Results. Possible improvements. Steganography. Smash the information to bits. Overview. The primary goal of image compression is to minimize the memory footprint of image data so that storage and transmission times are minimized. . Storage capacity can be limited, as is the case with digital cameras. Fundamentals of Digital Imaging. 1. In this lecture, you will find answers to these questions. What does digitizing images mean?. How are images sampled and quantized in the digitization process?. How are pixels, image resolution, and bit depth related to sampling and quantizing?. Lecture 9: Video, TV & Film. Georgia Gwinnett College. School of Science and Technology. Dr. Jim Rowan. In the next several lectures…. Film & TV & Video & Animation. Issues that arise from conversion. Haar. Transform. 4c8 – . Dr.. David Corrigan. Entropy. It all starts with entropy. Calculating the Entropy of an Image. The entropy of . lena. is = 7.57 bits/pixel . approx. Huffman Coding. Huffman is the simplest entropy coding scheme. Electronics in Music. Intro. Basic Analog Electronics. Digital Audio . Edison Phonograph - 1879. Cylindrical Phonogram . (Thomas Edison 1877 ). (Youtube video). Acoustic Recording Session ca. 1920. Voltage (Potential Drop). Póth Miklós. Fürstner Igor. Subotica Tech. Data. compression. Lossless - all original data can be recovered when the file is uncompressed. The signal is perfectly reconstructed from the available samples. (ZIP, GIF, PNG). Image compression. Introduction. Image Compression: It is the Art & Science of reducing the amount of data required to represent an image.. It is the most useful and commercially successful technologies in the field of Digital Image Processing.. Outline. Need for Video Compression. Application Scenarios. Fundamentals of Video Coding. Redundancy Removal Techniques. Compression Artifacts. Encoding and Decoding Process Flow. Video Coding Standards. (How to use the various settings on your digital camera). Image Size. Image Size. Large, medium, small, etc.. Choose whatever the largest image size gives you. the most flexibility (enlarging, cropping, high-quality printing, etc.). Srivastav. PROBLEM. Image require a lots of space as file & can be very large. They need to be exchange from various imaging system. There is a need to reduce both the amount of storage Space & transmission time.. Saliency and KAZE Features Authors: Siddharth Srivastava, Prerana Mukherjee, Dr. Brejesh Lall SPCOM 2016 Department of Electrical Engineering Indian Institute of Technology, Delhi Overview • Intro Gennady Pekhimenko. § . Vivek Seshadri. §. Onur Mutlu. . §. . Michael A. Kozuch. †. Phillip B. Gibbons. † . Todd C. Mowry. . §. § . Carnegie Mellon University . † . Intel Labs Pittsburgh.