Title : 
FLIP-Q: A QCIF Resolution Focal-Plane Array for Low-Power Image Processing
         
        
            Author : 
Fernández-Berni, Jorge ; Carmona-Galán, Ricardo ; Carranza-González, Luis
         
        
            Author_Institution : 
Inst. of Microelectron. of Seville (IMSE-CNM), Univ. de Sevilla, Seville, Spain
         
        
        
        
        
            fDate : 
3/1/2011 12:00:00 AM
         
        
        
        
            Abstract : 
This paper reports a 176×144-pixel smart image sensor designed and fabricated in a 0.35 CMOS-OPTO process. The chip implements a massively parallel focal-plane processing array which can output different simplified representations of the scene at very low power. The array is composed of pixel-level processing elements which carry out analog image processing concurrently with photosensing. These processing elements can be grouped into fully-programmable rectangular-shape areas by loading the appropriate interconnection patterns into the registers at the edge of the array. The targeted processing can be thus performed block-wise. Readout is done pixel-by-pixel in a random access fashion. On-chip 8b ADC is provided. The image processing primitives implemented by the chip, experimentally tested and fully functional, are scale space and Gaussian pyramid generation, fully-programmable multiresolution scene representation-including foveation-and block-wise energy-based scene representation. The power consumption associated to the capture, processing and A/D conversion of an image flow at 30 fps, with full-frame processing but reduced frame size output, ranges from 2.7 mW to 5.6 mW, depending on the operation to be performed.
         
        
            Keywords : 
CMOS image sensors; focal planes; image representation; FLIP-Q; Gaussian pyramid generation; QCIF resolution focal-plane array; block-wise energy-based scene representation; fully-programmable multiresolution scene representation; low-power image processing; power 2.7 mW to 5.6 mW; power consumption; scale space; smart image sensor; CMOS image sensors; focal-plane scale space; foveation; low-power image processing; multiresolution; simplified scene representation;
         
        
        
            Journal_Title : 
Solid-State Circuits, IEEE Journal of
         
        
        
        
        
            DOI : 
10.1109/JSSC.2010.2102591