Page 223 - Phase Space Optics Fundamentals and Applications
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204   Chapter Six










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               FIGURE 6.5 Schematic sketch of gray-level coding mask for binary objects.

               imaged object. Obviously, the imager should have a sufficient number
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               of dynamic range bits. It should be at least M× K , where K is the SR
               factor in every spatial dimension.
                 To clarify this concept, the schematic description of the gray level
               coding mask appears in Fig. 6.5. In this figure the resolution improve-
               ment is by a factor of 2 in each axis; thus the dynamic range of the
               detector should have 4 times more bits than the number of bits in
               the original object. So if the sensor has a dynamic range of 12 bits,
               the imaged object should not have more than 3 bits of gray level. This
               coding causes a spatial blurring. However, since every high resolution
               lateral feature is mapped to a different region in the dynamic range
               axis, it may be recovered later on. This is so because a priori we know
               the encoding/decoding conversion map that converts between every
               high-resolution spatial pixel and its corresponding bits region in the
               dynamic range axis.
                 Specifically referring again to the schematic sketch of Fig. 6.5, since
               the ratio of two adjacent pixels of the gray-level coding mask is 2, the
               original object should have 1 bit of dynamic range (a binary object).
                 An important comment related to this approach is that it is more
               suitable to deal with the reduction of the imaging resolution due to ge-
               ometric limitation (the number and the size of detector’s pixels) than
               the diffraction limitation since the proper conversion between space
               resolution and dynamic range bits is done not continuously in space
               but only for spatially adjacent blocks of pixels (in Fig. 6.5 those are
               blocks of 2 × 2 pixels). The approach will not perform proper gray-
               level coding for spatial sampling in regions of transition between two
               adjacent blocks (e.g., the spatial transition sample which is the blurred
               value that averages the right column of pixels of one block with the
               left column of the next adjacent block positioned on its right side).
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