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Multi-frame demosaicing and super-resolution of color images
- IEEE Trans. on Image Processing
, 2006
"... In the last two decades, two related categories of problems have been studied independently in the image restoration literature: super-resolution and demosaicing. A closer look at these problems reveals the relation between them, and as conventional color digital cameras suffer from both low-spatial ..."
Abstract
-
Cited by 53 (8 self)
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-spatial resolution and color-filtering, it is reasonable to address them in a unified context. In this paper, we propose a fast and robust hybrid method of super-resolution and demosaicing, based on a MAP estimation technique by minimizing a multi-term cost function. The L 1 norm is used for measuring the difference
1Multi-Frame Demosaicing and Super-Resolution of Color Images
"... In the last two decades, two related categories of problems have been studied independently in the image restoration literature: super-resolution and demosaicing. A closer look at these problems reveals the relation between them, and as conventional color digital cameras suffer from both low-spatial ..."
Abstract
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-spatial resolution and color-filtering, it is reasonable to address them in a unified context. In this paper, we propose a fast and robust hybrid method of super-resolution and demosaicing, based on a MAP estimation technique by minimizing a multi-term cost function. The L1 norm is used for measuring the difference
Multi-Frame Demosaicing and Super-Resolution from Under-Sampled Color Images
, 2004
"... In the last two decades, two related categories of problems have been studied independently in the image restoration literature: super-resolution and demosaicing. A closer look at these problems reveals the relation between them, and as conventional color digital cameras su#er from both low-spatial ..."
Abstract
-
Cited by 11 (7 self)
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-spatial resolution and color filtering, it is reasonable to address them in a unified context. In this paper, we propose a fast and robust hybrid method of super-resolution and demosaicing, based on a maximum a posteriori (MAP) estimation technique by minimizing a multi-term cost function. The L 1 norm is used
COLOR DEMOSAICING USING MULTI-FRAME SUPER-RESOLUTION
"... Despite the considerable advances in the fabrication processes of imaging sensors, their performance remains limited by theoretical constraints that compromise the achievable sensitivity, frame rate, signal to noise ratio, pixel size and spatial resolution. Therefore, signal processing tech-niques a ..."
Abstract
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Despite the considerable advances in the fabrication processes of imaging sensors, their performance remains limited by theoretical constraints that compromise the achievable sensitivity, frame rate, signal to noise ratio, pixel size and spatial resolution. Therefore, signal processing tech
