A mixed-signal VLSI neuroprocessor for image restoration

Ji Chien Lee, Bing J. Sheu, Joongho Choi, R. Rama, C. Chellappa

Research output: Contribution to journalArticlepeer-review


An analog systolic architecture that employs multiple neuroprocessors for image restoration is presented. For a two-dimensional image, parallel processing is performed for different rows of pixel data and pipelined processing is performed on each row of pixel data. For the image restoration neuroprocessor, local data computation is executed by analog circuitry to achieve full parallelism and to minimize power dissipation. Interprocessor communication is carried out in the digital format to maintain strong signal strength across the chip boundary and to allow multichip operation for high-speed image processing.

Original languageEnglish
Pages (from-to)319-324
Number of pages6
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number3
StatePublished - Sep 1992


Dive into the research topics of 'A mixed-signal VLSI neuroprocessor for image restoration'. Together they form a unique fingerprint.

Cite this