PPT-Direction-Adaptive KLT for Image Compression

Vinay Raj Hampapur Wendy Ni Stanford University March 8 2011 Outline Motivation Description of our method Results and comparisons Achievements Future work Acknowledgement References 2 EE398A DirectionAdaptive KLT for Image Compression. 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. PUTTIN THE SQUEEZE ON!!. NORTHEAST WYOMING SKIN AND WOUND SYMPOSIUM. OBJECTIVES. 1. Understand the role compression play in wound care. 2. Understand the types of compression options available in wound care. 3-7. December . 2012 . Niels. . Emil . Jannik. . Bjerrum. -Bohr. Niels. Bohr International Academy,. Niels. Bohr Institute. Amplitude . relations in . Yang-Mills theory and. Gravity. Perturbative. and Non-. Perturbative. Aspects . of String Theory and . Supergravity. Marcel Grossmann -- Paris. Niels. . Emil . Jannik. . Bjerrum. -Bohr. Niels. Bohr International Academy,. Niels. Road. . Networks. Renchu . Song, . . Weiwei . Sun, . . Fudan. University. Baihua Zheng, Singapore Management University. . Yu . Zheng, . Microsoft Research, . Beijing. Background. Big Data. Huge volume of spatial trajectories cause heavy burden to data storage and data process. 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). Jitendra. Malik. What is in an image?. The . image is . an array of brightness . values. . (three arrays for RGB images). A camera creates an image …. The image I(x,y) measures how much light is captured at pixel (x,y). On the Noise Level Estimation. PROPOSAL. SPRING 2015. ADVISOR: Dr. . K.R.Rao. Presented by, . . . Komandla. . Sai. . Venkat. ,. UTA id: 1001115386. On the Noise Level Estimation. INTERIM. . PRESENTATION. SPRING 2015. ADVISOR: Dr. . K.R.Rao. Presented by, . . . Komandla. . Sai. . Venkat. ,. UTA id: 1001115386. . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. 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 Topics: . Diffy. , Morph, Gradient Compression. 3D CNNs. Used for video processing. Examining a series of F images in one step. T is typically 3. Note that F reduces as we advance (also because of pooling). adjusts its coefficients . to adapt input signal . via an adaptive algorithm. .. Applications:. Signal enhancement. Active noise control. Noise cancellation. Telephone echo cancellation. 1. Text: Digital Signal Processing by Li Tan, Chapter 10. Features of adaptive immunity:. Adaptive immunity is characterized by the following:. 1. Antigenic specificity: (. highly specific).. 2. Diversity : . ( each antigen there is specific T-cell and B-cell for it)..