Paper Battery

May 1st, 2015
Studypool Tutor
Price: $10 USD

Tutor description

A spatial noise shaping (SNS) method based on human visual sensitivity is presented. The method exploits the capability of frequency domain linear prediction for spatial envelope retrieval. It effectively shapes (or hides) the noise of an image in areas which are not sensitive to human vision so that the resulting image is more pleasant to human eyes.

Word Count: 2365
Showing Page: 1/9
Paper BatteryA PAPER ON URINE ACTIVATED PAPER BATTERIES FOR BIOSYSTEMSAuthor 1 B.Amruthavalli, B.Tech ECE JNTU College of Engineering Kakinada, Plot No:3-E,Vamsi Krishna Apartments, Vidyuth Nagar, Kakinada, Andhra Pradesh, India. Ph No:9885589402, E- mail Id:amruthavalli11@yahoo.co.inAuthor 2 D.Santosh Kumar, B.Tech ECE JNTU College of Engineering ,KakinadaDr no: 2-13-13, Venkat Nagar,Kakinada, Andhra Pradesh,India Ph No:9440917270 E- Mail Id: durga_santosh@yahoo.co.inABSTRACTA spatial noise shaping (SNS) method based on human visual sensitivity is presented. The method exploits the capability of frequency domain linear prediction for spatial envelope retrieval. It effectively shapes (or hides) the noise of an image in areas which are not sensitive to human vision so that the resultingimage is more pleasant to human eyes. The noise comes from the processing of the image, and it can be either separable like the additive noise pattern in image watermarking or non separable like the quantization noise in image coding. An application of the algorithm is demonstrated in the paper by using it to enhance image coders. Images decoded from the SNS incorporated coders have superior perceived quality than those without using SNS.I. INTRODUCTIONNOISE appearance has always been unwelcome in many speech, audio, and image applications. Many studies have been done in the field of noise reduction, ranging from conventional median or Wiener filter types of algor

Review from student

Studypool Student
" Excellent work as always thanks so much "
Ask your homework questions. Receive quality answers!

Type your question here (or upload an image)

1821 tutors are online

Brown University





1271 Tutors

California Institute of Technology




2131 Tutors

Carnegie Mellon University




982 Tutors

Columbia University





1256 Tutors

Dartmouth University





2113 Tutors

Emory University





2279 Tutors

Harvard University





599 Tutors

Massachusetts Institute of Technology



2319 Tutors

New York University





1645 Tutors

Notre Dam University





1911 Tutors

Oklahoma University





2122 Tutors

Pennsylvania State University





932 Tutors

Princeton University





1211 Tutors

Stanford University





983 Tutors

University of California





1282 Tutors

Oxford University





123 Tutors

Yale University





2325 Tutors